Mac16,12
Geekbench AI Score
4839
Single Precision Score
36587
Half Precision Score
51778
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Torris |
| Upload Date | July 31 2025 11:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
17350
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24807
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21273
344.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30657
497.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123188
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231359
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
18672
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26283
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43925
521.9 IPS |
|
|
Face Detection (Q)
|
100% |
64016
760.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99309
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167737
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21711
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231284
297.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298438
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6123
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49462
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82730
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6202
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16557
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18218
314.8 IPS |
