Mac Studio (2023)
Geekbench AI Score
3106
Single Precision Score
4768
Half Precision Score
3943
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Edsel4u |
| Upload Date | August 15 2024 08:32 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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.4 IPS |
|
|
Image Classification (HP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (Q)
|
99% |
1804
336.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1272
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6262
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
14918
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12722
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2255
179.5 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
4456
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
2913
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5576
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8605
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4278
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16797
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26873
34.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26902
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3603
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3374
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4553
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4467
77.2 IPS |
