MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10444
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 09:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| 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% |
5573
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7106
1.33 KIPS |
|
|
Image Classification (I8)
|
99% |
7985
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2216
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2158
36.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2214
37.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
43274
52.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
96035
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97014
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
4380
327.0 IPS |
|
|
Object Detection (F16)
|
100% |
4939
368.7 IPS |
|
|
Object Detection (I8)
|
97% |
4060
303.1 IPS |
|
|
Face Detection (F32)
|
100% |
15916
189.3 IPS |
|
|
Face Detection (F16)
|
97% |
15252
181.3 IPS |
|
|
Face Detection (I8)
|
96% |
13664
162.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
26611
206.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43166
334.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
51731
401.2 IPS |
|
|
Style Transfer (F32)
|
100% |
88933
117.0 IPS |
|
|
Style Transfer (F16)
|
100% |
146793
193.1 IPS |
|
|
Style Transfer (I8)
|
100% |
146321
192.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9640
344.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20396
728.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19994
714.1 IPS |
|
|
Text Classification (F32)
|
100% |
584
839.3 IPS |
|
|
Text Classification (F16)
|
100% |
3534
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3600
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1034
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2854
52.5 IPS |
|
|
Machine Translation (I8)
|
99% |
958
17.6 IPS |
