Mac15,12
Geekbench AI Score
7615
Single Precision Score
8915
Half Precision Score
8214
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:12 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 | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
4305
800.7 IPS |
|
|
Image Classification (HP)
|
100% |
4700
874.1 IPS |
|
|
Image Classification (Q)
|
97% |
4040
753.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4351
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6324
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25068
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26600
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25334
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4420
350.6 IPS |
|
|
Object Detection (HP)
|
100% |
4897
388.4 IPS |
|
|
Object Detection (Q)
|
91% |
4157
332.2 IPS |
|
|
Face Detection (SP)
|
100% |
11760
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
15062
179.0 IPS |
|
|
Face Detection (Q)
|
100% |
10842
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18650
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20583
158.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17484
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51964
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60611
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56783
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11020
406.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11875
438.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9522
351.6 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5238
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.8 IPS |
