Mac Studio
Geekbench AI Score
12264
Single Precision Score
13741
Half Precision Score
13021
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | logowerbung |
| Upload Date | December 22 2025 02:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5126
953.3 IPS |
|
|
Image Classification (HP)
|
100% |
5099
948.2 IPS |
|
|
Image Classification (Q)
|
96% |
4720
881.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11757
190.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12202
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11548
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57098
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62117
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59640
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (HP)
|
100% |
5379
426.7 IPS |
|
|
Object Detection (Q)
|
92% |
4982
397.7 IPS |
|
|
Face Detection (SP)
|
100% |
21588
256.5 IPS |
|
|
Face Detection (HP)
|
100% |
22427
266.5 IPS |
|
|
Face Detection (Q)
|
100% |
19310
229.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26146
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27879
214.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
25701
200.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96289
123.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122641
157.7 IPS |
|
|
Style Transfer (Q)
|
96% |
118973
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16707
616.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17535
647.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15547
574.1 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
