Mac16,13
Geekbench AI Score
4834
Single Precision Score
36256
Half Precision Score
51735
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17272
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25509
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21849
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30343
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122631
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231098
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
18426
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26976
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
42384
503.6 IPS |
|
|
Face Detection (Q)
|
100% |
62572
743.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8254
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99700
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164825
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23274
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233184
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320517
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50553
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84860
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16388
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18164
313.9 IPS |
