Mac Studio (2023)
Geekbench AI Score
3129
Single Precision Score
4798
Half Precision Score
3957
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | paulgm |
| Upload Date | August 16 2024 08:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1464
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.5 IPS |
|
|
Image Classification (Q)
|
99% |
1836
342.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1291
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6279
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
14949
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12636
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2241
178.4 IPS |
|
|
Object Detection (Q)
|
94% |
1711
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2817
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5510
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8549
66.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4396
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16861
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26859
34.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26847
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3607
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3365
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4558
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4555
78.7 IPS |
