Mac15,13
Geekbench AI Score
3718
Single Precision Score
29732
Half Precision Score
33543
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
15826
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
18635
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21007
340.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26160
424.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
115684
135.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
115445
135.3 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
17942
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20124
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
37645
447.3 IPS |
|
|
Face Detection (Q)
|
100% |
49268
585.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6487
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
92463
712.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
117910
921.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19946
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
217963
280.2 IPS |
|
|
Style Transfer (Q)
|
96% |
212442
274.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46297
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53933
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3129
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5250
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4551
78.7 IPS |
