Mac16,1
Geekbench AI Score
10647
Single Precision Score
12647
Half Precision Score
11710
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | November 08 2025 07:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4968
923.8 IPS |
|
|
Image Classification (HP)
|
100% |
5347
994.3 IPS |
|
|
Image Classification (Q)
|
96% |
4761
889.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7647
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8612
139.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8183
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29234
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33358
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32444
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4972
394.4 IPS |
|
|
Object Detection (HP)
|
100% |
5491
435.5 IPS |
|
|
Object Detection (Q)
|
92% |
5113
408.1 IPS |
|
|
Face Detection (SP)
|
100% |
13005
154.5 IPS |
|
|
Face Detection (HP)
|
100% |
17615
209.3 IPS |
|
|
Face Detection (Q)
|
100% |
13946
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21834
168.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24129
185.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21967
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60350
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
73199
94.1 IPS |
|
|
Style Transfer (Q)
|
96% |
70146
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12159
449.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12774
471.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11354
419.3 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5468
94.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5410
93.5 IPS |
