Mac16,13
Geekbench AI Score
8542
Single Precision Score
10312
Half Precision Score
9423
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | May 09 2025 04:54 PM |
| Views | 4 |
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% |
4357
810.2 IPS |
|
|
Image Classification (HP)
|
100% |
4733
880.2 IPS |
|
|
Image Classification (Q)
|
96% |
4438
828.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6832
110.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7771
126.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7475
121.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
26084
30.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28349
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27674
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
5078
402.8 IPS |
|
|
Object Detection (Q)
|
92% |
4615
368.4 IPS |
|
|
Face Detection (SP)
|
100% |
11958
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
15583
185.2 IPS |
|
|
Face Detection (Q)
|
100% |
12564
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19759
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21877
168.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20244
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51147
65.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63715
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
61346
79.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12374
456.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10836
400.1 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1378
23.8 IPS |
