Mac16,12
Geekbench AI Score
4805
Single Precision Score
37295
Half Precision Score
53075
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | huntz |
| Upload Date | October 04 2025 10:55 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
18005
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
26953
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22020
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30274
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122743
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231775
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
100% |
18720
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26807
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
44132
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
63949
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100423
773.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171836
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21471
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232695
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295947
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50899
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85489
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6548
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6842
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16628
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18394
317.9 IPS |
