Mac Studio
Geekbench AI Score
11188
Single Precision Score
12422
Half Precision Score
11637
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mrclwgnr |
| Upload Date | October 25 2025 01:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4672
868.8 IPS |
|
|
Image Classification (HP)
|
100% |
4723
878.3 IPS |
|
|
Image Classification (Q)
|
96% |
4352
812.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10235
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10131
164.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9658
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47580
55.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51183
59.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
49220
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
4717
374.2 IPS |
|
|
Object Detection (HP)
|
100% |
4989
395.8 IPS |
|
|
Object Detection (Q)
|
92% |
4660
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
18800
223.4 IPS |
|
|
Face Detection (HP)
|
100% |
19260
228.9 IPS |
|
|
Face Detection (Q)
|
100% |
16581
197.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24468
188.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25229
194.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
23067
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80174
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
97022
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
94767
122.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16017
591.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16317
602.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14881
549.5 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2187
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2078
35.9 IPS |
