Mac16,12
Geekbench AI Score
4902
Single Precision Score
36559
Half Precision Score
51210
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
17100
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
23478
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22547
365.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31025
502.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9913
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121234
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228469
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
19404
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
25703
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43074
511.8 IPS |
|
|
Face Detection (Q)
|
100% |
59358
705.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99353
765.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166127
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24087
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234238
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320785
414.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51339
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87601
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16446
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18897
326.6 IPS |
