Mac16,12
Geekbench AI Score
4917
Single Precision Score
37584
Half Precision Score
53048
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 08:40 AM |
| Views | 2 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
18861
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
27232
5.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22571
365.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31065
503.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122670
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232230
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
19376
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
26750
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
44300
526.4 IPS |
|
|
Face Detection (Q)
|
100% |
64324
764.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99663
767.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
166006
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24083
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236144
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
323663
417.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53073
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86280
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5801
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17319
298.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19328
334.0 IPS |
