Mac16,13
Geekbench AI Score
4933
Single Precision Score
36187
Half Precision Score
51154
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
16506
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
23877
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22321
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30901
500.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122596
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232699
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
17952
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26395
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43176
513.0 IPS |
|
|
Face Detection (Q)
|
100% |
61531
731.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99155
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164014
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24299
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233161
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319511
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51309
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83413
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16476
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18172
314.0 IPS |
