Mac16,12
Geekbench AI Score
8525
Single Precision Score
9100
Half Precision Score
8494
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4074
757.6 IPS |
|
|
Image Classification (HP)
|
100% |
4289
797.7 IPS |
|
|
Image Classification (Q)
|
96% |
4028
752.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6654
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6334
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22795
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24188
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
23626
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4261
338.0 IPS |
|
|
Object Detection (HP)
|
100% |
4688
371.9 IPS |
|
|
Object Detection (Q)
|
92% |
4287
342.2 IPS |
|
|
Face Detection (SP)
|
100% |
11769
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
14394
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
11747
139.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18789
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20460
157.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
18760
146.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49934
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55869
71.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54238
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9713
358.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10462
386.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9125
337.0 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5293
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5267
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1318
22.8 IPS |
