Mac Studio
Geekbench AI Score
3850
Single Precision Score
15618
Half Precision Score
15563
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 04:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1275
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
6275
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
6027
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9608
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10055
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16126
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69759
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66663
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
7344
584.2 IPS |
|
|
Object Detection (Q)
|
91% |
6897
551.1 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
14914
177.2 IPS |
|
|
Face Detection (Q)
|
100% |
14067
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5999
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49636
382.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
51902
405.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22818
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119523
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115284
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4395
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24865
918.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27406
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3336
57.7 IPS |
