Mac Studio M1 Max Mac Studio
Geekbench AI Score
9990
Single Precision Score
10982
Half Precision Score
9732
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | March 23 2025 07:16 PM |
| Views | 15 |
| Notes | Base M1 Max Mac Studio 32 Core GPU 32 GB RAM |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4472
831.7 IPS |
|
|
Image Classification (HP)
|
100% |
4481
833.4 IPS |
|
|
Image Classification (Q)
|
97% |
3705
691.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8750
141.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8576
139.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8742
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
47335
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49429
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
45683
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
4423
350.8 IPS |
|
|
Object Detection (HP)
|
100% |
4885
387.5 IPS |
|
|
Object Detection (Q)
|
91% |
4114
328.7 IPS |
|
|
Face Detection (SP)
|
100% |
18216
216.4 IPS |
|
|
Face Detection (HP)
|
100% |
18711
222.3 IPS |
|
|
Face Detection (Q)
|
100% |
13522
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23441
180.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24583
189.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20653
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
80054
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94758
121.8 IPS |
|
|
Style Transfer (Q)
|
96% |
89175
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15889
586.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15850
585.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12441
459.4 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3942
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1026
17.7 IPS |
