Mac15,13
Geekbench AI Score
9010
Single Precision Score
9832
Half Precision Score
9139
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4319
803.1 IPS |
|
|
Image Classification (HP)
|
100% |
4712
876.4 IPS |
|
|
Image Classification (Q)
|
96% |
4368
815.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6494
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7036
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6723
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25116
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26226
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25964
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4376
347.1 IPS |
|
|
Object Detection (HP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (Q)
|
92% |
4473
357.0 IPS |
|
|
Face Detection (SP)
|
100% |
11687
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
15303
181.8 IPS |
|
|
Face Detection (Q)
|
100% |
12287
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19051
146.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20223
155.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18690
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52025
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59845
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58065
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10998
406.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10867
401.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9563
353.1 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2995
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1735
30.0 IPS |
