Mac Studio
Geekbench AI Score
10956
Single Precision Score
12091
Half Precision Score
11385
Quantized Score
Geekbench AI 1.4.0 Pro for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | August 01 2025 01:09 PM |
| Views | 6 |
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% |
4409
820.0 IPS |
|
|
Image Classification (HP)
|
100% |
4420
821.9 IPS |
|
|
Image Classification (Q)
|
96% |
3979
743.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10066
163.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9440
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47382
55.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
50932
59.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48826
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4655
369.3 IPS |
|
|
Object Detection (HP)
|
100% |
4910
389.4 IPS |
|
|
Object Detection (Q)
|
92% |
4604
367.5 IPS |
|
|
Face Detection (SP)
|
100% |
18187
216.1 IPS |
|
|
Face Detection (HP)
|
100% |
18793
223.3 IPS |
|
|
Face Detection (Q)
|
100% |
16045
190.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23594
181.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24743
190.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
22706
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79991
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96476
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
94242
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15795
583.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16243
599.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14130
521.7 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2227
38.5 IPS |
