Mac16,13
Geekbench AI Score
8853
Single Precision Score
9851
Half Precision Score
9634
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | yerts |
| Upload Date | April 08 2025 08:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
4402
818.6 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.0 IPS |
|
|
Image Classification (Q)
|
96% |
4355
813.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7111
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7738
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7643
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27631
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29691
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29388
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4529
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
3649
289.4 IPS |
|
|
Object Detection (Q)
|
92% |
4713
376.2 IPS |
|
|
Face Detection (SP)
|
100% |
12546
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
15929
189.3 IPS |
|
|
Face Detection (Q)
|
100% |
13308
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20232
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21712
167.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20133
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56611
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66104
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64401
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11647
430.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11435
422.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10199
376.6 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1623
28.1 IPS |
