Mac Studio
Geekbench AI Score
11324
Single Precision Score
12489
Half Precision Score
11625
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4435
824.8 IPS |
|
|
Image Classification (HP)
|
100% |
4515
839.7 IPS |
|
|
Image Classification (Q)
|
94% |
4316
806.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10127
164.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9958
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9494
153.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47114
55.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
50880
59.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
48973
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4505
357.3 IPS |
|
|
Object Detection (HP)
|
100% |
4651
368.9 IPS |
|
|
Object Detection (Q)
|
91% |
4371
349.3 IPS |
|
|
Face Detection (SP)
|
100% |
19021
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
19772
234.9 IPS |
|
|
Face Detection (Q)
|
100% |
17813
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23650
182.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24903
191.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22877
178.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80344
103.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96490
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
94403
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15581
575.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16123
595.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14477
534.6 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2243
38.8 IPS |
