Mac Studio
Geekbench AI Score
3835
Single Precision Score
5590
Half Precision Score
4800
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 16 2024 04:28 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.13 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
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
1838
341.9 IPS |
|
|
Image Classification (Q)
|
99% |
1841
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2145
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15005
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26128
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19783
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2230
177.5 IPS |
|
|
Object Detection (Q)
|
94% |
1661
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5569
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9694
74.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10054
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23111
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36675
47.1 IPS |
|
|
Style Transfer (Q)
|
100% |
36001
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6700
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4215
156.2 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2695
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2854
49.3 IPS |
