Mac16,13
Geekbench AI Score
9073
Single Precision Score
10781
Half Precision Score
10329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Enter1399 |
| Upload Date | October 19 2025 05:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4561
848.2 IPS |
|
|
Image Classification (HP)
|
100% |
4937
918.0 IPS |
|
|
Image Classification (Q)
|
96% |
4364
814.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7090
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7766
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7630
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27193
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30992
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30137
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5173
410.3 IPS |
|
|
Object Detection (Q)
|
92% |
4812
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12574
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
16770
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
13444
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20083
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22289
171.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
19996
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55570
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67100
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65355
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11439
422.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11752
433.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10238
378.1 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
6080
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2735
47.3 IPS |
