Mac16,12
Geekbench AI Score
4647
Single Precision Score
36875
Half Precision Score
52314
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | binbin |
| Upload Date | November 19 2025 12:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
17950
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26879
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21576
349.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29527
478.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122753
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230399
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
18623
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26325
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43948
522.2 IPS |
|
|
Face Detection (Q)
|
100% |
64351
764.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98949
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168967
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20036
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234377
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297728
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50064
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87883
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6990
9.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6428
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4272
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
14723
253.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17442
301.4 IPS |
