Mac16,12
Geekbench AI Score
4814
Single Precision Score
36811
Half Precision Score
52444
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | November 03 2025 06:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
17546
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
26535
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22120
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30077
487.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9967
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122597
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230930
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18688
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26314
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43099
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
64688
768.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8561
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99344
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168353
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21953
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234607
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298138
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50267
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89001
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18080
312.5 IPS |
