Mac15,12
Geekbench AI Score
7568
Single Precision Score
8810
Half Precision Score
8175
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 07:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
4336
806.3 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.5 IPS |
|
|
Image Classification (Q)
|
97% |
4047
755.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4339
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5933
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6310
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24910
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26608
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25357
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4302
341.2 IPS |
|
|
Object Detection (HP)
|
100% |
4877
386.8 IPS |
|
|
Object Detection (Q)
|
91% |
4126
329.7 IPS |
|
|
Face Detection (SP)
|
100% |
11578
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
15109
179.5 IPS |
|
|
Face Detection (Q)
|
100% |
10897
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18612
143.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20487
157.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17463
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51923
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60530
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
56821
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11092
409.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11906
439.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9516
351.4 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
939
16.2 IPS |
