Mac16,12
Geekbench AI Score
4793
Single Precision Score
36713
Half Precision Score
51412
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 01 2025 07:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
17314
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25101
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22133
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29248
474.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123539
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231637
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
18344
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25870
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
43874
521.3 IPS |
|
|
Face Detection (Q)
|
100% |
57288
680.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99293
765.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168884
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21624
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235470
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297927
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48589
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86911
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6193
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16596
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18300
316.2 IPS |
