Mac15,13
Geekbench AI Score
7558
Single Precision Score
8975
Half Precision Score
8232
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
4328
804.9 IPS |
|
|
Image Classification (HP)
|
100% |
4704
874.7 IPS |
|
|
Image Classification (Q)
|
97% |
4061
757.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4336
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6008
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6286
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25056
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26587
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25305
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4227
335.3 IPS |
|
|
Object Detection (HP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (Q)
|
91% |
4159
332.3 IPS |
|
|
Face Detection (SP)
|
100% |
11782
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
15103
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
11001
130.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18628
143.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20505
158.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17375
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51257
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60309
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
56989
73.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11081
409.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11817
436.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9532
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
988
17.1 IPS |
