Mac16,12
Geekbench AI Score
4895
Single Precision Score
36052
Half Precision Score
50338
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | December 20 2025 07:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
16646
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
23212
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22198
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30365
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122249
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232164
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
17872
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25404
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
42942
510.2 IPS |
|
|
Face Detection (Q)
|
100% |
59898
711.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99014
762.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164992
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24365
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231041
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
317669
409.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52198
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84511
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5314
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16409
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17826
308.0 IPS |
