Mac Studio
Geekbench ML Score
4132
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 30 2024 06:17 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 | 3.22 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1313
245.7 IPS |
|
|
Image Classification (F16)
|
100% |
2016
377.2 IPS |
|
|
Image Classification (I8)
|
99% |
2028
379.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
983
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1212
20.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1209
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10705
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
21218
25.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
20891
25.3 IPS |
|
|
Object Detection (F32)
|
100% |
1460
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
2061
153.9 IPS |
|
|
Object Detection (I8)
|
97% |
1469
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (F16)
|
97% |
5272
62.7 IPS |
|
|
Face Detection (I8)
|
97% |
5241
62.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5853
45.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10717
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10708
83.0 IPS |
|
|
Style Transfer (F32)
|
100% |
22091
29.1 IPS |
|
|
Style Transfer (F16)
|
100% |
34369
45.2 IPS |
|
|
Style Transfer (I8)
|
100% |
34477
45.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4547
162.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6498
232.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6520
232.9 IPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3562
5.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1260
23.2 IPS |
