Mac16,12
Geekbench AI Score
4837
Single Precision Score
37037
Half Precision Score
52261
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 30 2025 09:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
16978
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25914
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22145
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30347
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9990
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122571
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231480
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
18806
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26966
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
44344
526.9 IPS |
|
|
Face Detection (Q)
|
100% |
64006
760.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99335
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170710
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21712
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231562
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296750
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50127
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83784
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6619
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6223
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16562
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18314
316.5 IPS |
