Mac Studio
Geekbench ML Score
8726
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 30 2024 08:58 PM |
| Views | 3 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4198
785.5 IPS |
|
|
Image Classification (F16)
|
100% |
6778
1.27 KIPS |
|
|
Image Classification (I8)
|
99% |
6964
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1671
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1762
29.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1757
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
52506
63.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
62266
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
62812
76.1 IPS |
|
|
Object Detection (F32)
|
100% |
2322
173.4 IPS |
|
|
Object Detection (F16)
|
100% |
4271
318.8 IPS |
|
|
Object Detection (I8)
|
97% |
2188
163.4 IPS |
|
|
Face Detection (F32)
|
100% |
16068
191.1 IPS |
|
|
Face Detection (F16)
|
97% |
11185
133.0 IPS |
|
|
Face Detection (I8)
|
96% |
11138
132.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19303
149.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
32619
253.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
36049
279.6 IPS |
|
|
Style Transfer (F32)
|
100% |
81476
107.2 IPS |
|
|
Style Transfer (F16)
|
100% |
111732
147.0 IPS |
|
|
Style Transfer (I8)
|
100% |
114049
150.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11469
409.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20338
726.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20988
749.5 IPS |
|
|
Text Classification (F32)
|
100% |
2061
2.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3524
5.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
99% |
701
12.9 IPS |
