Mac16,13
Geekbench AI Score
4823
Single Precision Score
36388
Half Precision Score
51045
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 08 2026 10:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
16902
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24083
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21550
349.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29326
475.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9877
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120578
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
227863
267.1 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.8 IPS |
|
|
Object Detection (HP)
|
100% |
19404
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
26804
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
42525
505.3 IPS |
|
|
Face Detection (Q)
|
100% |
59517
707.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99116
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165056
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24137
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233132
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
319408
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52135
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85409
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5547
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16807
289.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18715
323.4 IPS |
