Mac Studio (M1 Max, 2022) Mac Studio
Geekbench AI Score
3748
Single Precision Score
16531
Half Precision Score
16356
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | skyzyx |
| Upload Date | November 09 2024 09:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
6986
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6541
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71317
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67462
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
7927
630.6 IPS |
|
|
Object Detection (Q)
|
91% |
7368
588.8 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16083
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
14048
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50982
392.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53685
419.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121274
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117010
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25597
945.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27483
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4348
75.1 IPS |
