Mac16,12
Geekbench AI Score
4865
Single Precision Score
36308
Half Precision Score
51435
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 30 2025 11:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17363
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24507
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22188
359.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30622
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9906
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122692
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232015
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
17845
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25613
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
42913
509.9 IPS |
|
|
Face Detection (Q)
|
100% |
63316
752.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100062
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169691
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23887
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233156
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320431
413.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51631
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84646
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16218
279.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18049
311.9 IPS |
