Mac Studio
Geekbench AI Score
10889
Single Precision Score
12066
Half Precision Score
11314
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 05 2025 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4570
849.9 IPS |
|
|
Image Classification (HP)
|
100% |
4472
831.6 IPS |
|
|
Image Classification (Q)
|
96% |
4146
774.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10125
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9966
161.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9531
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
47369
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
51030
59.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
48914
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
4926
390.7 IPS |
|
|
Object Detection (Q)
|
92% |
4547
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
18204
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
18927
224.9 IPS |
|
|
Face Detection (Q)
|
100% |
16347
194.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23604
181.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24756
190.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
22870
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79998
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
97114
124.8 IPS |
|
|
Style Transfer (Q)
|
96% |
94448
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15833
584.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16393
605.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14561
537.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1908
33.0 IPS |
