Mac Studio
Geekbench AI Score
3810
Single Precision Score
5678
Half Precision Score
4792
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:06 PM |
| Views | 2 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.2 IPS |
|
|
Image Classification (Q)
|
96% |
1405
262.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15749
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26748
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20720
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1669
133.0 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
5184
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5924
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10779
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7241
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22481
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37149
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29376
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4386
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4137
152.8 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2581
44.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4732
81.8 IPS |
