Mac Studio
Geekbench AI Score
3688
Single Precision Score
5798
Half Precision Score
4692
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 07:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21673
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17531
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2289
182.2 IPS |
|
|
Object Detection (Q)
|
94% |
1678
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
3104
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10086
78.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7065
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21825
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32370
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25953
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4808
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
