Mac16,12
Geekbench AI Score
4808
Single Precision Score
37019
Half Precision Score
51617
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | szityus |
| Upload Date | June 15 2025 11:46 AM |
| Views | 6 |
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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17241
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25274
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22109
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30305
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122703
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232271
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
18864
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26048
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
44313
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
56771
674.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99813
769.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167641
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21796
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234650
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299808
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49618
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85988
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16607
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18384
317.7 IPS |
