Mac16,12
Geekbench AI Score
4927
Single Precision Score
36504
Half Precision Score
52233
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:27 PM |
| Views | 4 |
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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
17091
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
25753
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22204
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30472
494.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122671
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232034
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
17857
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26374
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4203
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43102
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
64308
764.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99732
768.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167978
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24287
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232404
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320186
413.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51849
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86426
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18129
313.3 IPS |
