MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2471
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 02 2024 06:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1159
216.9 IPS |
|
|
Image Classification (F16)
|
100% |
1117
209.1 IPS |
|
|
Image Classification (I8)
|
99% |
1137
212.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
719
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
665
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14993
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19350
23.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
18719
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
1221
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1373
102.5 IPS |
|
|
Object Detection (I8)
|
97% |
1172
87.5 IPS |
|
|
Face Detection (F32)
|
100% |
2285
27.2 IPS |
|
|
Face Detection (F16)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (I8)
|
99% |
2046
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3996
31.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
3855
29.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3944
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15769
20.7 IPS |
|
|
Style Transfer (F16)
|
100% |
15725
20.7 IPS |
|
|
Style Transfer (I8)
|
100% |
16601
21.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3432
122.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3065
109.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3094
110.5 IPS |
|
|
Text Classification (F32)
|
100% |
1300
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
896
1.29 KIPS |
|
|
Text Classification (I8)
|
96% |
821
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1166
21.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1192
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1177
21.7 IPS |
