Mac Studio (2023)
Geekbench AI Score
2513
Single Precision Score
12792
Half Precision Score
13481
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | XRayAdams |
| Upload Date | August 15 2024 05:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1072
199.4 IPS |
|
|
Image Classification (HP)
|
100% |
8092
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
8602
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5135
83.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5133
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16023
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
92344
107.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
86861
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
9878
785.8 IPS |
|
|
Object Detection (Q)
|
93% |
10305
822.2 IPS |
|
|
Face Detection (SP)
|
100% |
2058
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
11980
142.4 IPS |
|
|
Face Detection (Q)
|
100% |
13652
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4092
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56453
434.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
60912
471.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14269
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
145899
187.6 IPS |
|
|
Style Transfer (Q)
|
100% |
145905
187.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20447
755.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27166
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
722
964.1 IPS |
|
|
Text Classification (Q)
|
93% |
719
965.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2126
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2118
36.6 IPS |
