Mac Studio
Geekbench AI Score
3692
Single Precision Score
5778
Half Precision Score
4688
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | eli1stark |
| Upload Date | July 06 2025 06:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2008
373.4 IPS |
|
|
Image Classification (Q)
|
96% |
1515
282.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11115
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21229
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17060
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2297
182.9 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9885
76.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7069
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22011
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33514
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26098
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4105
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4791
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4770
82.4 IPS |
