MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9044
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Aech |
| Upload Date | August 21 2024 12:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5260
984.2 IPS |
|
|
Image Classification (F16)
|
100% |
5468
1.02 KIPS |
|
|
Image Classification (I8)
|
99% |
5053
945.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2106
35.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2297
38.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2237
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
42566
51.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
45345
54.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
43774
53.0 IPS |
|
|
Object Detection (F32)
|
100% |
4267
318.6 IPS |
|
|
Object Detection (F16)
|
100% |
4445
331.9 IPS |
|
|
Object Detection (I8)
|
97% |
3950
294.9 IPS |
|
|
Face Detection (F32)
|
100% |
14142
168.2 IPS |
|
|
Face Detection (F16)
|
98% |
16450
195.6 IPS |
|
|
Face Detection (I8)
|
97% |
16552
196.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
25759
199.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28307
219.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
26619
206.4 IPS |
|
|
Style Transfer (F32)
|
100% |
86603
113.9 IPS |
|
|
Style Transfer (F16)
|
100% |
98911
130.1 IPS |
|
|
Style Transfer (I8)
|
100% |
96987
127.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10979
392.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10716
382.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9980
356.4 IPS |
|
|
Text Classification (F32)
|
100% |
2506
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
4328
6.22 KIPS |
|
|
Text Classification (I8)
|
96% |
4317
6.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1193
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1043
19.2 IPS |
