MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
3119
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 12:18 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 2.80 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1298
242.9 IPS |
|
|
Image Classification (F16)
|
100% |
1633
305.5 IPS |
|
|
Image Classification (I8)
|
99% |
1647
308.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
670
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
678
11.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
674
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6524
7.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
12808
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12788
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1336
99.8 IPS |
|
|
Object Detection (F16)
|
100% |
1789
133.5 IPS |
|
|
Object Detection (I8)
|
97% |
1342
100.2 IPS |
|
|
Face Detection (F32)
|
100% |
2041
24.3 IPS |
|
|
Face Detection (F16)
|
97% |
3876
46.1 IPS |
|
|
Face Detection (I8)
|
97% |
3892
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5285
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7563
58.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7549
58.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16325
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23500
30.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23644
31.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4019
143.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4775
170.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4704
168.0 IPS |
|
|
Text Classification (F32)
|
100% |
2051
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3309
4.76 KIPS |
|
|
Text Classification (I8)
|
96% |
3263
4.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
884
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (I8)
|
99% |
963
17.7 IPS |
