Mac15,13
Geekbench AI Score
3932
Single Precision Score
6969
Half Precision Score
5660
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | October 19 2025 12:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2080
388.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8289
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17363
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14975
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.0 IPS |
|
|
Object Detection (HP)
|
97% |
3188
253.8 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3874
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6950
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12646
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8961
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21798
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33451
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27844
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4449
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5300
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6296
108.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6320
109.2 IPS |
