Mac16,1
Geekbench AI Score
4961
Single Precision Score
36308
Half Precision Score
51265
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
17149
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24015
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22282
361.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30313
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10020
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123206
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232811
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18088
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26123
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
42981
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
60128
714.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99128
763.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166719
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24253
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232584
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320818
414.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51680
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85836
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16416
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18356
317.2 IPS |
