Mac15,12
Geekbench AI Score
6605
Single Precision Score
7407
Half Precision Score
6879
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | thoughtsimple |
| Upload Date | August 15 2024 07:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4175
776.4 IPS |
|
|
Image Classification (HP)
|
100% |
4424
822.8 IPS |
|
|
Image Classification (Q)
|
99% |
3935
733.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4500
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5983
97.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5881
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25163
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26782
31.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24734
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
4328
343.3 IPS |
|
|
Object Detection (HP)
|
100% |
4705
373.2 IPS |
|
|
Object Detection (Q)
|
92% |
3751
299.4 IPS |
|
|
Face Detection (SP)
|
100% |
11401
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
14258
169.4 IPS |
|
|
Face Detection (Q)
|
100% |
10164
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18696
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21116
162.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
20542
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52472
67.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60714
78.0 IPS |
|
|
Style Transfer (Q)
|
100% |
60159
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10660
393.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11735
433.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9234
342.1 IPS |
|
|
Text Classification (SP)
|
100% |
524
700.0 IPS |
|
|
Text Classification (HP)
|
100% |
712
951.0 IPS |
|
|
Text Classification (Q)
|
93% |
731
980.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.6 IPS |
