Mac Studio
Geekbench AI Score
3859
Single Precision Score
5645
Half Precision Score
4773
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | March 17 2025 03:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
1883
350.3 IPS |
|
|
Image Classification (Q)
|
96% |
1392
260.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2577
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15456
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26442
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20326
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
94% |
1679
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5264
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3053
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5957
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10496
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7130
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23036
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37328
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29234
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4222
155.9 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2433
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
