Mac16,12
Geekbench AI Score
4950
Single Precision Score
36375
Half Precision Score
51595
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 05:59 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
16887
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24757
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21554
349.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29939
485.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122743
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232555
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
18163
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26944
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43155
512.8 IPS |
|
|
Face Detection (Q)
|
100% |
61301
728.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99200
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167222
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24278
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233904
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
321355
414.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53480
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84844
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16359
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18442
318.7 IPS |
