Mac15,13
Geekbench AI Score
4154
Single Precision Score
31505
Half Precision Score
35425
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 17 2025 01:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
17691
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20376
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21756
352.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27244
441.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122239
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121070
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
18646
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20981
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
40026
475.6 IPS |
|
|
Face Detection (Q)
|
100% |
52409
622.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99107
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124487
973.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22484
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228414
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221182
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48344
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59197
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4799
82.9 IPS |
