Mac16,12
Geekbench AI Score
2650
Single Precision Score
22652
Half Precision Score
32375
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 06:57 PM |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1079
200.6 IPS |
|
|
Image Classification (HP)
|
100% |
11491
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
17733
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14095
228.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19009
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67415
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
125536
147.1 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
11974
949.8 IPS |
|
|
Object Detection (Q)
|
91% |
16340
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
27854
331.0 IPS |
|
|
Face Detection (Q)
|
100% |
36410
432.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4661
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
60981
469.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104102
813.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11631
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149822
192.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195772
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32250
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55405
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4315
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2606
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9127
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10315
178.2 IPS |
