Mac Studio
Geekbench AI Score
1890
Single Precision Score
9472
Half Precision Score
9596
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | August 16 2024 01:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.17 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
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
6783
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7008
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1753
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13012
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69407
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65767
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (HP)
|
99% |
7005
557.2 IPS |
|
|
Object Detection (Q)
|
93% |
7001
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
10887
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
11835
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3067
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45615
351.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
49122
379.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12642
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118098
151.8 IPS |
|
|
Style Transfer (Q)
|
100% |
122786
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18503
683.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22688
840.6 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.4 IPS |
|
|
Text Classification (HP)
|
100% |
495
661.3 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1820
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1804
31.2 IPS |
