Mac Studio (2023)
Geekbench AI Score
2274
Single Precision Score
2330
Half Precision Score
1318
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | itaki |
| Upload Date | December 02 2024 03:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | 3.65 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1112
206.9 IPS |
|
|
Image Classification (HP)
|
100% |
1029
191.3 IPS |
|
|
Image Classification (Q)
|
97% |
435
81.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
559
9.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
16103
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18703
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8001
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1227
97.7 IPS |
|
|
Object Detection (Q)
|
94% |
546
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1954
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
706
8.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
4247
32.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3610
27.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
1864
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14309
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14673
18.9 IPS |
|
|
Style Transfer (Q)
|
96% |
8624
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1042
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.8 IPS |
|
|
Text Classification (HP)
|
100% |
630
840.6 IPS |
|
|
Text Classification (Q)
|
93% |
602
807.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2146
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2104
36.4 IPS |
