Mac16,12
Geekbench AI Score
4897
Single Precision Score
36934
Half Precision Score
52360
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:18 AM |
| Views | 10 |
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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
18422
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
27279
5.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22227
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30634
496.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9904
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120799
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228957
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
19063
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26406
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4187
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
42446
504.3 IPS |
|
|
Face Detection (Q)
|
100% |
62475
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8374
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98920
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165345
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24148
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232205
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
311960
402.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51291
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85488
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17543
302.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19461
336.3 IPS |
