Mac16,13
Geekbench AI Score
4762
Single Precision Score
37009
Half Precision Score
53204
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aIpaca |
| Upload Date | April 13 2025 12:54 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
18264
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
28231
5.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22254
360.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30168
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122709
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231830
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
18416
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26232
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43414
515.8 IPS |
|
|
Face Detection (Q)
|
100% |
66631
791.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99376
765.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170918
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21054
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234141
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300330
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49533
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87449
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4382
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18209
314.7 IPS |
