MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10320
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 06:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (F16)
|
100% |
7058
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
6664
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3177
53.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3140
52.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3100
51.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
84878
102.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
87945
106.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
84327
102.1 IPS |
|
|
Object Detection (F32)
|
100% |
5104
381.0 IPS |
|
|
Object Detection (F16)
|
100% |
5340
398.6 IPS |
|
|
Object Detection (I8)
|
97% |
5034
375.8 IPS |
|
|
Face Detection (F32)
|
100% |
24384
289.9 IPS |
|
|
Face Detection (F16)
|
98% |
26780
318.4 IPS |
|
|
Face Detection (I8)
|
97% |
25536
303.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
36055
279.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
38050
295.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
37428
290.3 IPS |
|
|
Style Transfer (F32)
|
100% |
157830
207.6 IPS |
|
|
Style Transfer (F16)
|
100% |
177627
233.7 IPS |
|
|
Style Transfer (I8)
|
100% |
168465
221.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14157
505.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10086
360.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9716
347.0 IPS |
|
|
Text Classification (F32)
|
100% |
541
777.2 IPS |
|
|
Text Classification (F16)
|
100% |
838
1.21 KIPS |
|
|
Text Classification (I8)
|
96% |
838
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
1134
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1065
19.6 IPS |
