Mac Studio
Geekbench AI Score
10729
Single Precision Score
11927
Half Precision Score
11147
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | VincentDupont |
| Upload Date | July 11 2025 09:45 PM |
| Views | 16 |
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% |
4428
823.5 IPS |
|
|
Image Classification (HP)
|
100% |
4546
845.4 IPS |
|
|
Image Classification (Q)
|
96% |
4167
778.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10090
163.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9897
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9473
153.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47135
55.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
51039
59.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
49033
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (HP)
|
100% |
4944
392.2 IPS |
|
|
Object Detection (Q)
|
92% |
4599
367.1 IPS |
|
|
Face Detection (SP)
|
100% |
18132
215.4 IPS |
|
|
Face Detection (HP)
|
100% |
18751
222.8 IPS |
|
|
Face Detection (Q)
|
100% |
16094
191.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23561
181.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25168
193.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
22638
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79864
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96378
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
93987
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15655
578.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16123
595.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14405
531.9 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1680
29.0 IPS |
