Caprica - CPU Mac Studio
Geekbench AI Score
2713
Single Precision Score
4178
Half Precision Score
3472
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jamiesmithnc |
| Upload Date | August 26 2024 06:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.22 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (Q)
|
99% |
1613
300.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5544
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13041
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11168
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.6 IPS |
|
|
Object Detection (HP)
|
97% |
1754
139.6 IPS |
|
|
Object Detection (Q)
|
94% |
1439
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2631
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4892
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7823
60.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3548
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14822
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23702
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23618
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3300
121.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4478
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3292
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3188
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3182
55.0 IPS |
