Mac Studio
Geekbench AI Score
8940
Single Precision Score
8728
Half Precision Score
7773
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | RGPphotog |
| Upload Date | August 16 2024 01:39 PM |
| Views | 10 |
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 | 3.22 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
144.9 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
99% |
742
138.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10656
172.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10873
176.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10254
166.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
79315
92.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
82414
96.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
68879
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
3872
307.1 IPS |
|
|
Object Detection (HP)
|
100% |
4209
333.8 IPS |
|
|
Object Detection (Q)
|
92% |
3586
286.2 IPS |
|
|
Face Detection (SP)
|
100% |
18757
222.9 IPS |
|
|
Face Detection (HP)
|
100% |
18789
223.3 IPS |
|
|
Face Detection (Q)
|
100% |
13362
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26376
203.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26669
205.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
26137
202.1 IPS |
|
|
Style Transfer (SP)
|
100% |
129024
165.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144084
185.2 IPS |
|
|
Style Transfer (Q)
|
100% |
142355
183.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15650
577.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15617
576.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10647
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
458
611.2 IPS |
|
|
Text Classification (Q)
|
93% |
471
631.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1748
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1719
29.7 IPS |
