MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10232
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 22 2024 08:57 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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 | 4.04 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% |
4987
933.1 IPS |
|
|
Image Classification (F16)
|
100% |
6961
1.30 KIPS |
|
|
Image Classification (I8)
|
99% |
7869
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2171
36.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2143
35.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2183
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
32828
39.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
95580
115.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97907
118.6 IPS |
|
|
Object Detection (F32)
|
100% |
3357
250.6 IPS |
|
|
Object Detection (F16)
|
100% |
5628
420.2 IPS |
|
|
Object Detection (I8)
|
97% |
3781
282.3 IPS |
|
|
Face Detection (F32)
|
100% |
14129
168.0 IPS |
|
|
Face Detection (F16)
|
97% |
12774
151.9 IPS |
|
|
Face Detection (I8)
|
96% |
12973
154.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
22095
171.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
50510
391.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
44071
341.8 IPS |
|
|
Style Transfer (F32)
|
100% |
74225
97.6 IPS |
|
|
Style Transfer (F16)
|
100% |
145722
191.7 IPS |
|
|
Style Transfer (I8)
|
100% |
147895
194.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10428
372.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20037
715.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20537
733.4 IPS |
|
|
Text Classification (F32)
|
100% |
883
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
3823
5.49 KIPS |
|
|
Text Classification (I8)
|
96% |
3697
5.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2992
55.1 IPS |
|
|
Machine Translation (I8)
|
99% |
998
18.4 IPS |
