Mac16,13
Geekbench AI Score
9101
Single Precision Score
10355
Half Precision Score
9721
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aIpaca |
| Upload Date | April 13 2025 12:52 AM |
| Views | 4 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4537
843.7 IPS |
|
|
Image Classification (HP)
|
100% |
4875
906.7 IPS |
|
|
Image Classification (Q)
|
96% |
4574
854.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7199
116.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7895
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7653
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27954
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30205
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29139
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4607
365.4 IPS |
|
|
Object Detection (HP)
|
100% |
5162
409.4 IPS |
|
|
Object Detection (Q)
|
92% |
4711
376.0 IPS |
|
|
Face Detection (SP)
|
100% |
12014
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
16400
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
13080
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20344
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22576
173.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20184
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56087
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66937
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64359
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11737
433.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12285
453.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11589
427.9 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5348
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1513
26.2 IPS |
