Mac Studio (2023)
Geekbench AI Score
2314
Single Precision Score
14930
Half Precision Score
15936
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | MPN196 |
| Upload Date | August 20 2024 03:59 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (HP)
|
100% |
7747
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
8809
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5161
83.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5167
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11163
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
93336
108.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
88591
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
99% |
9454
752.0 IPS |
|
|
Object Detection (Q)
|
93% |
10150
809.9 IPS |
|
|
Face Detection (SP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
11907
141.5 IPS |
|
|
Face Detection (Q)
|
100% |
13665
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3798
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56068
432.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
60740
469.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13251
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
146631
188.5 IPS |
|
|
Style Transfer (Q)
|
100% |
147718
189.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20800
768.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28060
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2014
34.8 IPS |
