Mac Studio
Geekbench AI Score
10836
Single Precision Score
11814
Half Precision Score
10426
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | February 07 2025 02:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4593
854.1 IPS |
|
|
Image Classification (HP)
|
100% |
4695
873.1 IPS |
|
|
Image Classification (Q)
|
97% |
3882
724.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8789
142.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8641
140.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8714
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
47484
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49672
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
45875
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4752
376.9 IPS |
|
|
Object Detection (HP)
|
100% |
4991
395.9 IPS |
|
|
Object Detection (Q)
|
91% |
4270
341.2 IPS |
|
|
Face Detection (SP)
|
100% |
18705
222.3 IPS |
|
|
Face Detection (HP)
|
100% |
19151
227.6 IPS |
|
|
Face Detection (Q)
|
100% |
13749
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23944
184.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24837
191.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20858
163.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80128
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95128
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
89748
115.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16125
595.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16490
608.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12792
472.4 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3853
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1873
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1807
31.2 IPS |
