Mac16,13
Geekbench AI Score
9071
Single Precision Score
10572
Half Precision Score
10517
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jdmu7ewx |
| Upload Date | April 19 2025 09:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4371
812.8 IPS |
|
|
Image Classification (HP)
|
100% |
4892
909.8 IPS |
|
|
Image Classification (Q)
|
96% |
4497
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6797
110.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7780
126.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7572
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27462
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29661
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28991
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (HP)
|
100% |
5214
413.6 IPS |
|
|
Object Detection (Q)
|
92% |
4737
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
12550
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
16465
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
13152
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20473
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22262
171.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20453
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55698
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66435
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64301
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11545
426.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12666
467.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11015
406.7 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2062
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3386
58.5 IPS |
