Mac Studio
Geekbench AI Score
3698
Single Precision Score
16563
Half Precision Score
16463
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 01:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
6931
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6555
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9779
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11093
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71337
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67961
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
8034
639.1 IPS |
|
|
Object Detection (Q)
|
91% |
7521
601.0 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
16383
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
15254
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51756
398.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
54323
424.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21984
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120972
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116884
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4306
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25959
958.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27964
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3883
67.1 IPS |
