Mac16,13
Geekbench AI Score
8888
Single Precision Score
10531
Half Precision Score
9821
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 07 2025 12:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4431
824.0 IPS |
|
|
Image Classification (HP)
|
100% |
4803
893.2 IPS |
|
|
Image Classification (Q)
|
96% |
4526
845.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7142
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7649
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7615
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27770
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29866
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29213
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4650
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (Q)
|
92% |
4768
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
12709
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16514
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
13281
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20337
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22434
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20581
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55259
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66966
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64540
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11675
431.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12701
469.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11050
408.0 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1627
28.1 IPS |
