Mac Studio
Geekbench AI Score
2766
Single Precision Score
4190
Half Precision Score
3496
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mvarney |
| Upload Date | August 23 2024 03:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
1613
299.9 IPS |
|
|
Image Classification (Q)
|
99% |
1618
301.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1172
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13179
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11260
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
1906
151.8 IPS |
|
|
Object Detection (Q)
|
94% |
1482
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2662
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
2664
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7932
61.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
3752
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14797
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23744
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23805
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3328
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3227
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3529
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3166
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3181
55.0 IPS |
