MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
13036
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 19 2024 10:12 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 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% |
5222
977.2 IPS |
|
|
Image Classification (F16)
|
100% |
12308
2.30 KIPS |
|
|
Image Classification (I8)
|
99% |
13599
2.54 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2087
34.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2536
42.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2586
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
42738
51.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
108499
131.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
109394
132.5 IPS |
|
|
Object Detection (F32)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (F16)
|
100% |
6949
518.8 IPS |
|
|
Object Detection (I8)
|
97% |
4017
299.9 IPS |
|
|
Face Detection (F32)
|
100% |
14279
169.8 IPS |
|
|
Face Detection (F16)
|
97% |
23042
274.0 IPS |
|
|
Face Detection (I8)
|
96% |
23079
274.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
26213
203.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
52708
408.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
53461
414.6 IPS |
|
|
Style Transfer (F32)
|
100% |
88465
116.4 IPS |
|
|
Style Transfer (F16)
|
100% |
158973
209.1 IPS |
|
|
Style Transfer (I8)
|
100% |
159305
209.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10659
380.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
38315
1.37 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38155
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2550
3.67 KIPS |
|
|
Text Classification (F16)
|
100% |
4428
6.36 KIPS |
|
|
Text Classification (I8)
|
96% |
4411
6.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
1184
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2922
53.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1151
21.2 IPS |
