Mac Studio (2023)
Geekbench AI Score
4530
Single Precision Score
26218
Half Precision Score
29267
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 06:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
13343
2.48 KIPS |
|
|
Image Classification (Q)
|
96% |
15211
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19379
314.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24210
392.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18703
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
105168
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103396
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
99% |
15489
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17194
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
34949
415.3 IPS |
|
|
Face Detection (Q)
|
100% |
45453
540.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6458
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86133
663.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107398
839.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27150
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202327
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192013
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39537
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47994
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4063
70.2 IPS |
