Mac15,12
Geekbench AI Score
4124
Single Precision Score
31322
Half Precision Score
35232
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 18 2025 07:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
17567
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
20243
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22062
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26717
433.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121593
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121201
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
18488
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20908
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39146
465.1 IPS |
|
|
Face Detection (Q)
|
100% |
52512
624.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7187
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98742
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125616
982.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22456
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229960
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
224227
289.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48128
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57483
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5315
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4791
82.8 IPS |
