Mac16,12
Geekbench AI Score
4702
Single Precision Score
7777
Half Precision Score
6251
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 04:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3564
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19123
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16479
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
7282
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4283
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8283
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14623
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10126
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25167
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38114
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31448
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6911
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
