Mac16,12
Geekbench AI Score
4805
Single Precision Score
36628
Half Precision Score
51642
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 12:55 PM |
| Views | 4 |
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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
17302
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23555
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21313
345.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30348
492.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122353
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231411
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
19624
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
26919
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
44000
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
65652
780.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100391
773.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168183
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21639
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233526
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298586
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50340
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82459
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6118
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16558
285.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18215
314.8 IPS |
