Mac Studio
Geekbench AI Score
3653
Single Precision Score
14600
Half Precision Score
14372
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | March 26 2026 08:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
6100
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
6025
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9032
146.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9539
154.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10553
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
68440
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
62682
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
6981
555.3 IPS |
|
|
Object Detection (Q)
|
91% |
6538
522.4 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
13243
157.4 IPS |
|
|
Face Detection (Q)
|
100% |
12509
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45502
350.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46387
362.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22221
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116576
149.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110668
142.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25088
926.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26364
973.5 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4142
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2278
39.4 IPS |
