Mac16,12
Geekbench AI Score
4907
Single Precision Score
36733
Half Precision Score
51894
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:25 PM |
| Views | 7 |
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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
17748
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25607
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22270
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30685
497.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122752
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232102
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
18715
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26675
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
42830
508.9 IPS |
|
|
Face Detection (Q)
|
100% |
61705
733.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99496
766.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164967
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24016
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233377
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320590
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52445
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86017
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5720
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16451
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18135
313.4 IPS |
