Mac16,12
Geekbench AI Score
4932
Single Precision Score
36606
Half Precision Score
51931
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:29 PM |
| Views | 6 |
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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
17596
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24848
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22143
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30820
499.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122747
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232261
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
17613
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26485
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
44008
522.9 IPS |
|
|
Face Detection (Q)
|
100% |
61581
731.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99355
765.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164656
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24081
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232180
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321488
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53045
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86563
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5793
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18634
322.0 IPS |
