Mac16,13
Geekbench AI Score
4900
Single Precision Score
36438
Half Precision Score
51479
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Enter1399 |
| Upload Date | October 19 2025 05:52 PM |
| Views | 3 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
17470
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24174
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22062
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30523
494.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10015
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122462
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232553
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
17952
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
27142
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
43187
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
60618
720.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8479
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99775
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162274
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24143
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229843
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321020
414.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51614
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85014
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5710
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4473
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16643
286.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18310
316.4 IPS |
