MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
2401
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 19 2024 03:04 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B2073) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1167
218.3 IPS |
|
|
Image Classification (F16)
|
100% |
1134
212.1 IPS |
|
|
Image Classification (I8)
|
99% |
1137
212.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
721
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
664
11.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
664
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14788
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
19432
23.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
18743
22.7 IPS |
|
|
Object Detection (F32)
|
100% |
1197
89.4 IPS |
|
|
Object Detection (F16)
|
100% |
1292
96.5 IPS |
|
|
Object Detection (I8)
|
97% |
1202
89.8 IPS |
|
|
Face Detection (F32)
|
100% |
2504
29.8 IPS |
|
|
Face Detection (F16)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (I8)
|
99% |
2193
26.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4345
33.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
4329
33.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
4375
33.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15793
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15811
20.8 IPS |
|
|
Style Transfer (I8)
|
100% |
15766
20.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3096
110.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2823
100.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2762
98.6 IPS |
|
|
Text Classification (F32)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
733
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
539
775.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1329
24.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1200
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1140
21.0 IPS |
