Mac Studio
Geekbench AI Score
4121
Single Precision Score
6156
Half Precision Score
5058
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 04:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.21 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2016
374.8 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15646
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
28523
33.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22000
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
2442
194.4 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3665
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5864
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3294
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6341
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11479
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7612
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24757
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40981
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31158
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7349
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4560
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3057
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4984
86.1 IPS |
