Mac15,12
Geekbench AI Score
3955
Single Precision Score
30967
Half Precision Score
34809
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Kukusa |
| Upload Date | July 30 2025 08:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
17036
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
20435
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21767
352.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23929
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8373
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
122298
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121170
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
18545
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
21231
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
37146
441.4 IPS |
|
|
Face Detection (Q)
|
100% |
50356
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6964
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98465
758.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125550
981.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229994
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221098
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47955
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59515
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4644
80.3 IPS |
