Mac16,13
Geekbench AI Score
4818
Single Precision Score
36724
Half Precision Score
51954
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 17 2026 04:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
18174
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
26253
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21408
347.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29405
476.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9791
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122720
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231528
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
18322
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26817
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
42211
501.6 IPS |
|
|
Face Detection (Q)
|
100% |
60091
714.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99197
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166218
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23323
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234742
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
321201
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54162
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84850
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6075
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4428
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15772
271.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17938
310.0 IPS |
