Mac Studio
Geekbench AI Score
2073
Single Precision Score
12692
Half Precision Score
10565
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rjmaybin |
| Upload Date | April 30 2025 12:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
7238
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6383
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
489
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
10206
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69533
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66319
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.6 IPS |
|
|
Object Detection (HP)
|
99% |
7457
593.2 IPS |
|
|
Object Detection (Q)
|
93% |
7179
572.9 IPS |
|
|
Face Detection (SP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
11353
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
11860
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3792
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46166
355.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54707
427.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12419
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117922
151.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115135
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2652
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18760
692.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23184
856.1 IPS |
|
|
Text Classification (SP)
|
100% |
482
643.9 IPS |
|
|
Text Classification (HP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1907
33.0 IPS |
