Caprica - GPU Mac Studio
Geekbench AI Score
9592
Single Precision Score
9333
Half Precision Score
8335
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jamiesmithnc |
| Upload Date | August 26 2024 06:20 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
891
165.7 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
844
157.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11216
181.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11213
181.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10710
173.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80144
93.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
83449
97.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
70846
83.0 IPS |
|
|
Object Detection (SP)
|
100% |
4863
385.7 IPS |
|
|
Object Detection (HP)
|
100% |
4829
383.0 IPS |
|
|
Object Detection (Q)
|
92% |
3821
305.0 IPS |
|
|
Face Detection (SP)
|
100% |
20703
246.0 IPS |
|
|
Face Detection (HP)
|
100% |
20826
247.5 IPS |
|
|
Face Detection (Q)
|
100% |
14782
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27170
209.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27261
210.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
27548
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
135901
174.7 IPS |
|
|
Style Transfer (HP)
|
100% |
148914
191.4 IPS |
|
|
Style Transfer (Q)
|
100% |
145003
186.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16271
600.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16333
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11831
438.3 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
511
682.4 IPS |
|
|
Text Classification (Q)
|
93% |
507
680.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1873
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1869
32.3 IPS |
