MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
12531
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 24 2024 04:32 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
6228
1.17 KIPS |
|
|
Image Classification (F16)
|
100% |
5617
1.05 KIPS |
|
|
Image Classification (I8)
|
99% |
6138
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2810
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3191
53.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
3183
53.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
61147
74.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
107166
129.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
108392
131.3 IPS |
|
|
Object Detection (F32)
|
100% |
3458
258.1 IPS |
|
|
Object Detection (F16)
|
100% |
4712
351.8 IPS |
|
|
Object Detection (I8)
|
97% |
3443
257.0 IPS |
|
|
Face Detection (F32)
|
100% |
20220
240.4 IPS |
|
|
Face Detection (F16)
|
97% |
22425
266.6 IPS |
|
|
Face Detection (I8)
|
96% |
22425
266.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30462
236.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
49245
381.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
58321
452.3 IPS |
|
|
Style Transfer (F32)
|
100% |
126009
165.8 IPS |
|
|
Style Transfer (F16)
|
100% |
147831
194.5 IPS |
|
|
Style Transfer (I8)
|
100% |
153085
201.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12667
452.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27030
965.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
30494
1.09 KIPS |
|
|
Text Classification (F32)
|
100% |
2681
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
4194
6.03 KIPS |
|
|
Text Classification (I8)
|
96% |
4187
6.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1206
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2003
36.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1183
21.8 IPS |
