Mac Studio
Geekbench AI Score
2092
Single Precision Score
9611
Half Precision Score
10120
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Willian |
| Upload Date | August 15 2024 05:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
6940
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7265
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1845
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14272
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69027
80.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64922
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (HP)
|
99% |
7297
580.5 IPS |
|
|
Object Detection (Q)
|
93% |
7134
569.3 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
11435
135.9 IPS |
|
|
Face Detection (Q)
|
100% |
12103
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3352
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45501
350.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
48828
377.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12893
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117179
150.6 IPS |
|
|
Style Transfer (Q)
|
100% |
122873
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2603
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18432
680.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22514
834.1 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
510
681.3 IPS |
|
|
Text Classification (Q)
|
93% |
613
822.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1821
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1812
31.3 IPS |
