Mac Studio
Geekbench AI Score
3885
Single Precision Score
5995
Half Precision Score
4890
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | January 29 2025 12:45 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11067
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22909
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17642
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
2462
196.0 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3209
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6093
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11107
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7559
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23222
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35547
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27824
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6581
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4249
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3428
59.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5094
88.0 IPS |
