Mac Studio (2023)
Geekbench AI Score
4567
Single Precision Score
20765
Half Precision Score
22858
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | non |
| Upload Date | August 21 2024 10:06 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
12669
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
14873
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9303
150.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9292
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18614
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
102026
119.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
96628
113.3 IPS |
|
|
Object Detection (SP)
|
100% |
1849
146.7 IPS |
|
|
Object Detection (HP)
|
99% |
14193
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
17128
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
23765
282.4 IPS |
|
|
Face Detection (Q)
|
100% |
35751
424.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6510
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73212
564.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
80747
624.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28150
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155593
200.0 IPS |
|
|
Style Transfer (Q)
|
100% |
160698
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40733
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46539
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2017
34.9 IPS |
