Mac15,13
Geekbench AI Score
3955
Single Precision Score
30894
Half Precision Score
34295
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | October 19 2025 11:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
16182
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17837
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21756
352.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27147
440.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8332
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
120732
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119898
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
17697
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20259
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
39337
467.4 IPS |
|
|
Face Detection (Q)
|
100% |
51471
611.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6848
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97010
747.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122265
955.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21579
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227436
292.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219339
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48646
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55375
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5323
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
