Mac16,12
Geekbench AI Score
4907
Single Precision Score
36305
Half Precision Score
51638
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 28 2025 11:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
17158
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24392
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21639
350.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30791
499.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122906
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231647
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18107
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26317
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
42718
507.6 IPS |
|
|
Face Detection (Q)
|
100% |
62889
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8430
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100279
772.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166937
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24289
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
230892
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
318887
411.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51244
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82175
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16753
288.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18385
317.7 IPS |
