Mac16,12
Geekbench AI Score
4825
Single Precision Score
36654
Half Precision Score
51877
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 23 2025 06:30 PM |
| Views | 9 |
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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
17245
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24999
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22067
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30487
494.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123588
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231852
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
18457
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25832
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43906
521.7 IPS |
|
|
Face Detection (Q)
|
100% |
63673
756.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8595
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99173
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168448
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21800
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232466
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296419
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49549
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85849
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6050
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16621
286.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18217
314.8 IPS |
