Mac Studio
Geekbench AI Score
3685
Single Precision Score
5881
Half Precision Score
4722
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 20 2025 11:14 AM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.16 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.2 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11005
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22318
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17527
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2324
185.0 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3102
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10086
78.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7038
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34961
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27637
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4167
153.9 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3697
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4936
85.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4953
85.6 IPS |
