Mac16,12
Geekbench AI Score
4673
Single Precision Score
35721
Half Precision Score
51263
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | February 05 2026 04:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
17525
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25040
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22211
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30344
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9247
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122435
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230166
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (HP)
|
100% |
18117
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25862
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
42186
501.3 IPS |
|
|
Face Detection (Q)
|
100% |
62382
741.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98729
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165460
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21945
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231660
297.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320514
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51389
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86987
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
13972
240.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16925
292.5 IPS |
