Mac15,13
Geekbench AI Score
4042
Single Precision Score
7164
Half Precision Score
5798
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mmalgraibi |
| Upload Date | March 06 2026 12:38 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.6 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3303
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8382
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17528
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
3250
258.7 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7061
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12897
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9091
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21938
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33822
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28090
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6844
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6786
117.3 IPS |
