Mac16,12
Geekbench AI Score
4858
Single Precision Score
37322
Half Precision Score
53686
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 01:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
17613
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
28090
5.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22156
359.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30583
495.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122959
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232481
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18682
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26636
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
44281
526.2 IPS |
|
|
Face Detection (Q)
|
100% |
66910
795.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99762
768.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171411
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21716
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234512
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299032
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6146
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50686
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87160
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6504
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6639
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17133
295.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18840
325.6 IPS |
