Mac15,12
Geekbench AI Score
4169
Single Precision Score
31152
Half Precision Score
34706
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
17483
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
20204
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21363
346.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25553
414.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8676
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122100
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121042
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
18417
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20789
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
38961
462.9 IPS |
|
|
Face Detection (Q)
|
100% |
50697
602.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99224
764.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124910
976.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22496
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230119
295.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219562
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47838
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57120
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
