MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10092
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:56 AM |
| Views | 7 |
| Notes | MacBook Pro (14-inch, M3 Pro or M3 Max, Nov 2023)/M3 Pro 11Core CPU/14Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 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% |
5036
942.3 IPS |
|
|
Image Classification (F16)
|
100% |
7053
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7648
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2198
36.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2230
37.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2242
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
33015
40.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
96335
116.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
95288
115.4 IPS |
|
|
Object Detection (F32)
|
100% |
3211
239.7 IPS |
|
|
Object Detection (F16)
|
100% |
4955
369.9 IPS |
|
|
Object Detection (I8)
|
97% |
3828
285.8 IPS |
|
|
Face Detection (F32)
|
100% |
14200
168.8 IPS |
|
|
Face Detection (F16)
|
97% |
12844
152.7 IPS |
|
|
Face Detection (I8)
|
96% |
12837
152.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
22285
172.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40685
315.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
43846
340.0 IPS |
|
|
Style Transfer (F32)
|
100% |
74417
97.9 IPS |
|
|
Style Transfer (F16)
|
100% |
147589
194.1 IPS |
|
|
Style Transfer (I8)
|
100% |
147435
193.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10356
369.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20466
730.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20482
731.5 IPS |
|
|
Text Classification (F32)
|
100% |
731
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3802
5.46 KIPS |
|
|
Text Classification (I8)
|
96% |
3693
5.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1110
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3129
57.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1026
18.9 IPS |
