MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10357
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 04 2024 01:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5448
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
7387
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
7872
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2098
35.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2052
34.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2039
34.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
43270
52.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
95965
116.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
89992
109.0 IPS |
|
|
Object Detection (F32)
|
100% |
4370
326.3 IPS |
|
|
Object Detection (F16)
|
100% |
4923
367.6 IPS |
|
|
Object Detection (I8)
|
97% |
4132
308.5 IPS |
|
|
Face Detection (F32)
|
100% |
14717
175.0 IPS |
|
|
Face Detection (F16)
|
97% |
12699
151.0 IPS |
|
|
Face Detection (I8)
|
96% |
12601
149.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
26783
207.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
50476
391.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
35264
273.5 IPS |
|
|
Style Transfer (F32)
|
100% |
86595
113.9 IPS |
|
|
Style Transfer (F16)
|
100% |
144153
189.6 IPS |
|
|
Style Transfer (I8)
|
100% |
135170
177.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9962
355.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20468
731.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16704
596.5 IPS |
|
|
Text Classification (F32)
|
100% |
996
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
4101
5.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3708
5.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2991
55.0 IPS |
|
|
Machine Translation (I8)
|
99% |
988
18.2 IPS |
