Mac16,13
Geekbench AI Score
9130
Single Precision Score
11267
Half Precision Score
9920
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | April 19 2025 02:36 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4522
841.0 IPS |
|
|
Image Classification (HP)
|
100% |
4993
928.6 IPS |
|
|
Image Classification (Q)
|
96% |
4661
870.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7129
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7874
127.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7665
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27766
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29930
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29247
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4637
367.8 IPS |
|
|
Object Detection (HP)
|
100% |
5272
418.2 IPS |
|
|
Object Detection (Q)
|
92% |
4783
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
12683
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16532
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
13128
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20524
158.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22705
174.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20916
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55757
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67233
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64576
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11924
440.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12959
478.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11240
415.0 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1670
28.9 IPS |
