Mac16,12
Geekbench AI Score
4848
Single Precision Score
36536
Half Precision Score
51753
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | December 06 2025 10:25 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
18375
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25915
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21705
351.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30360
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9683
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122898
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231267
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17795
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25833
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
42766
508.2 IPS |
|
|
Face Detection (Q)
|
100% |
61226
727.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99220
764.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167346
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23240
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232805
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
320887
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51795
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87408
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5675
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16174
278.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17981
310.7 IPS |
