Mac Studio
Geekbench AI Score
12176
Single Precision Score
13449
Half Precision Score
12001
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lpiris |
| Upload Date | February 28 2026 03:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4169
775.3 IPS |
|
|
Image Classification (HP)
|
100% |
4316
802.7 IPS |
|
|
Image Classification (Q)
|
94% |
3993
746.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10023
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9943
161.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9311
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47138
55.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
50834
59.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
48683
57.0 IPS |
|
|
Object Detection (SP)
|
100% |
4437
351.9 IPS |
|
|
Object Detection (HP)
|
100% |
4763
377.8 IPS |
|
|
Object Detection (Q)
|
91% |
4515
360.8 IPS |
|
|
Face Detection (SP)
|
100% |
19028
226.1 IPS |
|
|
Face Detection (HP)
|
100% |
19812
235.4 IPS |
|
|
Face Detection (Q)
|
100% |
17690
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23238
179.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24462
188.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22975
179.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79531
102.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95901
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
93423
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14939
551.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15393
568.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13749
507.7 IPS |
|
|
Text Classification (SP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6561
8.76 KIPS |
|
|
Text Classification (Q)
|
92% |
6312
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3971
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3970
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2302
39.8 IPS |
