MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10670
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 07:39 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5575
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
6954
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7890
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2239
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2229
37.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2143
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
42760
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
94438
114.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
96773
117.2 IPS |
|
|
Object Detection (F32)
|
100% |
4324
322.8 IPS |
|
|
Object Detection (F16)
|
100% |
4659
347.9 IPS |
|
|
Object Detection (I8)
|
97% |
3995
298.2 IPS |
|
|
Face Detection (F32)
|
100% |
15120
179.8 IPS |
|
|
Face Detection (F16)
|
97% |
12841
152.7 IPS |
|
|
Face Detection (I8)
|
96% |
12797
152.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26637
206.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
39082
303.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
55614
431.3 IPS |
|
|
Style Transfer (F32)
|
100% |
89006
117.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147951
194.6 IPS |
|
|
Style Transfer (I8)
|
100% |
145988
192.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11077
395.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19943
712.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20763
741.5 IPS |
|
|
Text Classification (F32)
|
100% |
1098
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3569
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3916
5.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3029
55.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1029
18.9 IPS |
