Mac15,13
Geekbench AI Score
7700
Single Precision Score
9004
Half Precision Score
8081
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Flenski |
| Upload Date | February 26 2025 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4309
801.3 IPS |
|
|
Image Classification (HP)
|
100% |
4678
870.0 IPS |
|
|
Image Classification (Q)
|
97% |
4052
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6334
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25045
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26555
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25333
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
4902
388.9 IPS |
|
|
Object Detection (Q)
|
91% |
4164
332.7 IPS |
|
|
Face Detection (SP)
|
100% |
11729
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
15101
179.4 IPS |
|
|
Face Detection (Q)
|
100% |
10865
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18648
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20551
158.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17777
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51906
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60524
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
56755
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11034
407.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11819
436.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9533
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
807
13.9 IPS |
