Mac16,12
Geekbench AI Score
4698
Single Precision Score
38418
Half Precision Score
54667
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 04:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
18933
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
28841
5.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22244
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30337
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123622
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232628
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
19484
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27033
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
45636
542.3 IPS |
|
|
Face Detection (Q)
|
100% |
66608
791.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100861
777.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
173179
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25180
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237791
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298766
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50886
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88050
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3040
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7086
9.46 KIPS |
|
|
Text Classification (Q)
|
93% |
7338
9.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3991
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17497
301.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19457
336.2 IPS |
