Mac Studio
Geekbench AI Score
3810
Single Precision Score
5623
Half Precision Score
4798
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | October 27 2024 09:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1834
341.0 IPS |
|
|
Image Classification (Q)
|
99% |
1832
341.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2138
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15397
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26661
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
20184
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2277
181.3 IPS |
|
|
Object Detection (Q)
|
94% |
1657
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
3023
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5970
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10832
83.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
10740
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22965
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37445
48.1 IPS |
|
|
Style Transfer (Q)
|
100% |
36351
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4442
164.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6607
244.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4112
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3665
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2534
43.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2779
48.0 IPS |
