Mac15,13
Geekbench AI Score
3932
Single Precision Score
4578
Half Precision Score
4263
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | October 19 2025 11:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4233
787.2 IPS |
|
|
Image Classification (HP)
|
100% |
4631
861.2 IPS |
|
|
Image Classification (Q)
|
96% |
4145
774.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6384
103.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6945
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6681
108.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23468
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26477
30.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25812
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
4252
337.3 IPS |
|
|
Object Detection (HP)
|
100% |
4702
373.0 IPS |
|
|
Object Detection (Q)
|
92% |
4387
350.2 IPS |
|
|
Face Detection (SP)
|
100% |
11343
134.8 IPS |
|
|
Face Detection (HP)
|
100% |
15144
179.9 IPS |
|
|
Face Detection (Q)
|
100% |
12197
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18120
139.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19972
153.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
18376
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49352
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59734
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57571
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10399
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10508
388.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9126
337.0 IPS |
|
|
Text Classification (SP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5373
7.21 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.5 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.5 IPS |
|
|
Machine Translation (Q)
|
0% |
0
9.40 IPS |
