MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9163
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 01 2024 11:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6357
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6821
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
6748
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2797
46.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2456
41.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2472
41.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
61675
74.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
89500
108.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
89423
108.3 IPS |
|
|
Object Detection (F32)
|
100% |
4565
340.8 IPS |
|
|
Object Detection (F16)
|
100% |
3886
290.1 IPS |
|
|
Object Detection (I8)
|
97% |
4739
353.8 IPS |
|
|
Face Detection (F32)
|
100% |
21140
251.4 IPS |
|
|
Face Detection (F16)
|
97% |
12011
142.8 IPS |
|
|
Face Detection (I8)
|
96% |
12106
143.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
30800
238.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36271
281.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
36972
286.7 IPS |
|
|
Style Transfer (F32)
|
100% |
127764
168.1 IPS |
|
|
Style Transfer (F16)
|
100% |
139865
184.0 IPS |
|
|
Style Transfer (I8)
|
100% |
142379
187.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10371
370.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16643
594.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16780
599.3 IPS |
|
|
Text Classification (F32)
|
100% |
460
661.0 IPS |
|
|
Text Classification (F16)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (I8)
|
96% |
722
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1178
21.7 IPS |
|
|
Machine Translation (F16)
|
99% |
1179
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1134
20.9 IPS |
