Mac Studio
Geekbench ML Score
7973
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | azrobbo |
| Upload Date | August 15 2024 06:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4458
834.2 IPS |
|
|
Image Classification (F16)
|
100% |
6749
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7170
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1671
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1434
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1448
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
51104
61.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
62577
75.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63517
76.9 IPS |
|
|
Object Detection (F32)
|
100% |
2585
193.0 IPS |
|
|
Object Detection (F16)
|
100% |
4106
306.5 IPS |
|
|
Object Detection (I8)
|
97% |
2850
212.8 IPS |
|
|
Face Detection (F32)
|
100% |
16346
194.4 IPS |
|
|
Face Detection (F16)
|
97% |
10941
130.1 IPS |
|
|
Face Detection (I8)
|
96% |
10894
129.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
20111
156.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
35343
274.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
34477
267.4 IPS |
|
|
Style Transfer (F32)
|
100% |
82163
108.1 IPS |
|
|
Style Transfer (F16)
|
100% |
111410
146.5 IPS |
|
|
Style Transfer (I8)
|
100% |
114315
150.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12843
458.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15022
536.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15685
560.2 IPS |
|
|
Text Classification (F32)
|
100% |
466
669.7 IPS |
|
|
Text Classification (F16)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (I8)
|
96% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1722
31.7 IPS |
|
|
Machine Translation (I8)
|
99% |
729
13.4 IPS |
