Mac16,12
Geekbench AI Score
4549
Single Precision Score
38654
Half Precision Score
55865
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | natrat |
| Upload Date | July 20 2025 04:41 AM |
| Views | 12 |
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% |
1952
363.0 IPS |
|
|
Image Classification (HP)
|
100% |
19115
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
29560
5.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22154
359.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30705
497.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9657
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122951
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229524
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
19154
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26658
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3902
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
44490
528.6 IPS |
|
|
Face Detection (Q)
|
100% |
66234
787.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8515
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100672
775.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
172180
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
17609
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235681
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300266
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51097
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95366
3.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
8080
10.8 KIPS |
|
|
Text Classification (Q)
|
93% |
8421
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17136
295.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19388
335.1 IPS |
