Mac Studio
Geekbench AI Score
9584
Single Precision Score
8921
Half Precision Score
7680
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
825
153.4 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.6 IPS |
|
|
Image Classification (Q)
|
99% |
808
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10651
172.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10812
175.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10195
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
78900
92.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
81843
95.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
68692
80.5 IPS |
|
|
Object Detection (SP)
|
100% |
4571
362.6 IPS |
|
|
Object Detection (HP)
|
100% |
4559
361.7 IPS |
|
|
Object Detection (Q)
|
92% |
3627
289.5 IPS |
|
|
Face Detection (SP)
|
100% |
19931
236.8 IPS |
|
|
Face Detection (HP)
|
100% |
19867
236.1 IPS |
|
|
Face Detection (Q)
|
100% |
14206
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25947
199.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26243
202.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
26050
201.4 IPS |
|
|
Style Transfer (SP)
|
100% |
132990
171.0 IPS |
|
|
Style Transfer (HP)
|
100% |
145204
186.7 IPS |
|
|
Style Transfer (Q)
|
100% |
141019
181.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15332
566.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15212
561.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11049
409.3 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (Q)
|
93% |
332
445.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1831
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1817
31.4 IPS |
