Mac Studio (2023)
Geekbench AI Score
4516
Single Precision Score
7073
Half Precision Score
5525
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tlonergan02 |
| Upload Date | November 04 2024 05:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (Q)
|
96% |
1606
299.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2983
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18544
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31839
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23168
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
2844
226.4 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6201
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6354
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11875
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7913
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26828
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41385
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32158
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3951
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6535
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6727
116.3 IPS |
