Mac Studio
Geekbench AI Score
3797
Single Precision Score
5592
Half Precision Score
4714
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MK500 |
| Upload Date | November 17 2024 12:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.21 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
1898
352.9 IPS |
|
|
Image Classification (Q)
|
96% |
1404
262.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15043
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24978
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
20171
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
97% |
2306
183.6 IPS |
|
|
Object Detection (Q)
|
94% |
1661
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
2979
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5919
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10776
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7226
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22237
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35289
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27575
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4153
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2605
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4705
81.3 IPS |
