Mac Studio
Geekbench AI Score
3813
Single Precision Score
6292
Half Precision Score
5016
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lpiris |
| Upload Date | February 28 2026 03:26 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (Q)
|
96% |
1523
284.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10347
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22911
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17670
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2323
184.9 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3204
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10507
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7307
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21832
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35618
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28312
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3993
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6699
8.94 KIPS |
|
|
Text Classification (Q)
|
92% |
6218
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5046
87.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5050
87.3 IPS |
