Mac16,12
Geekbench AI Score
4827
Single Precision Score
35866
Half Precision Score
51643
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 01:38 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 | 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% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
17140
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
28408
5.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22154
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30360
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122596
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231755
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
18398
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25882
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
44089
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
63408
753.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98815
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171118
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21730
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229416
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296990
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49146
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82752
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5344
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4458
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16549
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18304
316.3 IPS |
