Mac Studio
Geekbench AI Score
3819
Single Precision Score
14529
Half Precision Score
14363
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
6549
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6270
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6528
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6794
110.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16035
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
70431
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65895
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
99% |
7749
616.4 IPS |
|
|
Object Detection (Q)
|
91% |
7251
579.4 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
16099
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15143
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50719
390.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53045
414.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22786
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120042
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116177
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24944
921.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27163
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1884
32.6 IPS |
