Mac16,12
Geekbench AI Score
4805
Single Precision Score
37089
Half Precision Score
53280
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | computer_lover |
| Upload Date | September 27 2025 07:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
18282
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
27250
5.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21888
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30321
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9885
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122547
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232259
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
18978
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26523
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
40139
476.9 IPS |
|
|
Face Detection (Q)
|
100% |
63648
756.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100167
771.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171941
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21389
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232884
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298829
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50803
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86691
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6639
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6806
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16760
288.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18773
324.4 IPS |
