Mac16,12
Geekbench AI Score
4814
Single Precision Score
36441
Half Precision Score
52219
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
17104
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24924
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21133
342.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30389
492.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123623
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231654
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
18241
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26207
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4141
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
43870
521.3 IPS |
|
|
Face Detection (Q)
|
100% |
63709
757.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98985
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169206
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21851
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229330
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295473
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49158
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87201
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4380
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16476
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18278
315.9 IPS |
