MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
8981
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 24 2024 07:37 PM |
| Views | 2 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5254
983.2 IPS |
|
|
Image Classification (F16)
|
100% |
5547
1.04 KIPS |
|
|
Image Classification (I8)
|
99% |
5106
955.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2077
34.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2254
37.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2207
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
42203
51.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
45297
54.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
43904
53.2 IPS |
|
|
Object Detection (F32)
|
100% |
3183
237.6 IPS |
|
|
Object Detection (F16)
|
100% |
4482
334.6 IPS |
|
|
Object Detection (I8)
|
97% |
3912
292.1 IPS |
|
|
Face Detection (F32)
|
100% |
13939
165.7 IPS |
|
|
Face Detection (F16)
|
98% |
17385
206.7 IPS |
|
|
Face Detection (I8)
|
97% |
16519
196.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
25635
198.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28460
220.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
26651
206.7 IPS |
|
|
Style Transfer (F32)
|
100% |
87231
114.7 IPS |
|
|
Style Transfer (F16)
|
100% |
98340
129.4 IPS |
|
|
Style Transfer (I8)
|
100% |
97240
127.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10602
378.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10750
383.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10186
363.8 IPS |
|
|
Text Classification (F32)
|
100% |
2558
3.68 KIPS |
|
|
Text Classification (F16)
|
100% |
4423
6.36 KIPS |
|
|
Text Classification (I8)
|
96% |
4425
6.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1083
19.9 IPS |
