Mac15,12
Geekbench AI Score
4133
Single Precision Score
7067
Half Precision Score
5701
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 09:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
2087
389.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3289
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17531
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15096
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3223
256.6 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6660
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12858
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9063
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22431
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34445
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28582
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6125
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6345
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6121
105.8 IPS |
