Mac Studio
Geekbench ML Score
6515
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 31 2024 06:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3586
671.0 IPS |
|
|
Image Classification (F16)
|
100% |
3659
684.6 IPS |
|
|
Image Classification (I8)
|
99% |
3267
611.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1427
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1361
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
50783
61.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
48238
58.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
46885
56.8 IPS |
|
|
Object Detection (F32)
|
100% |
2150
160.5 IPS |
|
|
Object Detection (F16)
|
100% |
2305
172.1 IPS |
|
|
Object Detection (I8)
|
97% |
1992
148.7 IPS |
|
|
Face Detection (F32)
|
100% |
13806
164.2 IPS |
|
|
Face Detection (F16)
|
98% |
14196
168.8 IPS |
|
|
Face Detection (I8)
|
97% |
13119
156.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
18297
141.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
18081
140.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
16825
130.5 IPS |
|
|
Style Transfer (F32)
|
100% |
69728
91.7 IPS |
|
|
Style Transfer (F16)
|
100% |
77723
102.2 IPS |
|
|
Style Transfer (I8)
|
100% |
78255
102.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8450
301.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8902
317.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8269
295.3 IPS |
|
|
Text Classification (F32)
|
100% |
1890
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
3280
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3304
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
625
11.5 IPS |
