Mac15,12
Geekbench AI Score
7498
Single Precision Score
9084
Half Precision Score
8225
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TheMatrix2025 |
| Upload Date | January 30 2025 12:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4309
801.3 IPS |
|
|
Image Classification (HP)
|
100% |
4662
866.9 IPS |
|
|
Image Classification (Q)
|
97% |
4035
753.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4155
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5860
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6296
102.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24674
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26505
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25177
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
4350
345.1 IPS |
|
|
Object Detection (HP)
|
100% |
4866
386.0 IPS |
|
|
Object Detection (Q)
|
91% |
4118
329.1 IPS |
|
|
Face Detection (SP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
14760
175.4 IPS |
|
|
Face Detection (Q)
|
100% |
10872
129.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18353
141.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20430
157.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17764
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51215
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
59957
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
56602
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10974
405.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11768
434.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9504
350.9 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5193
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.3 IPS |
