Mac15,13
Geekbench AI Score
3925
Single Precision Score
30753
Half Precision Score
34403
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 05:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (HP)
|
100% |
16358
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18737
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20604
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24638
399.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8135
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
120156
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119974
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
17860
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20830
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3371
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
39202
465.8 IPS |
|
|
Face Detection (Q)
|
100% |
51629
613.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6839
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97535
751.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
122016
954.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21317
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
225791
290.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218149
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48272
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56005
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
