Mac Studio
Geekbench AI Score
11675
Single Precision Score
12857
Half Precision Score
11702
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | January 29 2025 12:48 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5323
989.9 IPS |
|
|
Image Classification (HP)
|
100% |
5303
986.2 IPS |
|
|
Image Classification (Q)
|
97% |
4570
852.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10406
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10645
172.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10694
173.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57628
67.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
61045
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56218
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
4742
376.1 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
91% |
4821
385.2 IPS |
|
|
Face Detection (SP)
|
100% |
22138
263.0 IPS |
|
|
Face Detection (HP)
|
100% |
22946
272.6 IPS |
|
|
Face Detection (Q)
|
100% |
17366
206.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27510
211.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28527
219.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
24306
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97707
125.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122343
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114714
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17432
643.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18066
667.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14763
545.1 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1299
22.4 IPS |
