Mac Studio (2023)
Geekbench AI Score
12074
Single Precision Score
11934
Half Precision Score
10723
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | XRayAdams |
| Upload Date | August 15 2024 05:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
1017
189.2 IPS |
|
|
Image Classification (Q)
|
99% |
1016
189.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
14926
242.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15158
245.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
14391
233.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
103579
120.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107826
125.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
92658
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
5778
458.4 IPS |
|
|
Object Detection (HP)
|
100% |
5832
462.6 IPS |
|
|
Object Detection (Q)
|
92% |
4804
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
25805
306.6 IPS |
|
|
Face Detection (HP)
|
100% |
26672
316.9 IPS |
|
|
Face Detection (Q)
|
100% |
19827
235.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32425
249.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34164
263.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
34067
263.4 IPS |
|
|
Style Transfer (SP)
|
100% |
190128
244.4 IPS |
|
|
Style Transfer (HP)
|
100% |
195121
250.8 IPS |
|
|
Style Transfer (Q)
|
100% |
189739
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23878
881.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24325
898.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17489
647.9 IPS |
|
|
Text Classification (SP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
656
875.0 IPS |
|
|
Text Classification (Q)
|
93% |
653
876.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2131
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2110
36.5 IPS |
