Mac Studio
Geekbench AI Score
3631
Single Precision Score
6028
Half Precision Score
4825
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 09:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10426
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23039
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17688
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10549
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7345
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22094
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35168
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28090
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4126
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5127
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5142
88.9 IPS |
