Mac Studio
Geekbench AI Score
4052
Single Precision Score
15823
Half Precision Score
15707
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
6786
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6426
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9725
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15827
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
71446
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67361
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
99% |
7896
628.1 IPS |
|
|
Object Detection (Q)
|
91% |
7371
589.0 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
14220
169.0 IPS |
|
|
Face Detection (Q)
|
100% |
13652
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6182
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51984
400.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53950
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24270
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120691
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115937
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25790
952.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27827
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2927
50.6 IPS |
