Mac Studio (2023)
Geekbench AI Score
3101
Single Precision Score
4778
Half Precision Score
3942
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | XRayAdams |
| Upload Date | August 15 2024 05:17 PM |
| Views | 9 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
1820
338.5 IPS |
|
|
Image Classification (Q)
|
99% |
1805
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1291
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12763
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2223
177.0 IPS |
|
|
Object Detection (Q)
|
94% |
1715
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3084
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2828
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8619
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4214
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16818
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27000
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26983
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3597
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3345
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4582
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4596
79.4 IPS |
