Mac16,12
Geekbench AI Score
4682
Single Precision Score
36971
Half Precision Score
53422
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
18236
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
29175
5.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21764
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30055
487.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123231
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232310
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18630
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26531
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
43597
518.0 IPS |
|
|
Face Detection (Q)
|
100% |
65488
778.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100171
771.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169113
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25130
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232149
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296954
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50757
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88792
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6211
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6502
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16384
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18451
318.9 IPS |
