Mac16,13
Geekbench AI Score
4819
Single Precision Score
37241
Half Precision Score
52448
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 07 2025 12:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
18140
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26417
4.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22104
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30279
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9959
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123222
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232212
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
18792
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27157
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4169
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
44141
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
63466
754.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99528
766.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169377
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21734
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232488
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297282
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49542
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84890
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6219
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4449
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16715
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18511
319.9 IPS |
