Mac Studio
Geekbench AI Score
3952
Single Precision Score
5886
Half Precision Score
5003
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:36 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
99% |
1901
354.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2149
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16396
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26972
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19971
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1672
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3257
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10945
84.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
10875
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24340
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39187
50.4 IPS |
|
|
Style Transfer (Q)
|
100% |
38821
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4843
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7241
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4436
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2964
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2994
51.7 IPS |
