Mac Studio
Geekbench AI Score
3675
Single Precision Score
5830
Half Precision Score
4683
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 26 2025 07:11 PM |
| Views | 9 |
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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2010
373.7 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11122
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22093
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17020
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2290
182.3 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10140
78.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7047
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21863
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33494
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26104
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4074
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4715
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4732
81.8 IPS |
