Mac15,12
Geekbench AI Score
2378
Single Precision Score
21364
Half Precision Score
22770
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | July 27 2025 04:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (HP)
|
100% |
11261
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
13275
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15838
256.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19668
318.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
77780
90.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
77307
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
13849
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
11399
910.8 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
26415
313.9 IPS |
|
|
Face Detection (Q)
|
100% |
34098
405.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3762
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
67830
522.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
82034
641.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13379
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
161341
207.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152902
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3187
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35344
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38707
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3301
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3278
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3001
51.9 IPS |
