Mac16,12
Geekbench AI Score
4816
Single Precision Score
37234
Half Precision Score
52646
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 04 2025 09:05 AM |
| Views | 6 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
17623
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
25582
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22209
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30349
492.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9933
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122811
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230946
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
18623
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26271
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
44535
529.2 IPS |
|
|
Face Detection (Q)
|
100% |
66864
794.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8622
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100425
773.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171537
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21505
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234545
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299008
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50873
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84792
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6519
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16552
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18316
316.5 IPS |
