Mac Studio
Geekbench AI Score
11049
Single Precision Score
11987
Half Precision Score
11174
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | August 02 2025 11:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
4421
822.2 IPS |
|
|
Image Classification (HP)
|
100% |
4365
811.7 IPS |
|
|
Image Classification (Q)
|
96% |
4077
761.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10102
163.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9478
153.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
47347
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50808
59.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
48800
57.2 IPS |
|
|
Object Detection (SP)
|
100% |
4626
367.0 IPS |
|
|
Object Detection (HP)
|
100% |
4796
380.4 IPS |
|
|
Object Detection (Q)
|
92% |
4484
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
18679
222.0 IPS |
|
|
Face Detection (HP)
|
100% |
18793
223.3 IPS |
|
|
Face Detection (Q)
|
100% |
16128
191.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23333
179.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24560
189.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
22640
176.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79529
102.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96138
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
93503
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15258
563.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15904
587.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13735
507.2 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1954
33.8 IPS |
