Mac15,13
Geekbench AI Score
3971
Single Precision Score
7042
Half Precision Score
5724
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 15 2025 03:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (Q)
|
96% |
2041
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3213
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8310
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
17452
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15021
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6684
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3956
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7021
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12802
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9047
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21901
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33809
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28071
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6529
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6532
112.9 IPS |
