Mac Studio
Geekbench AI Score
3769
Single Precision Score
16469
Half Precision Score
16516
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DJENT |
| Upload Date | March 12 2025 01:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
7128
1.33 KIPS |
|
|
Image Classification (Q)
|
96% |
6764
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9756
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10364
168.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10902
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71558
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67391
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
8081
642.8 IPS |
|
|
Object Detection (Q)
|
91% |
7550
603.3 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
14691
174.6 IPS |
|
|
Face Detection (Q)
|
100% |
14948
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5881
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51874
399.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54336
424.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22367
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122150
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117929
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26453
976.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28607
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3828
66.1 IPS |
