Mac16,13
Geekbench AI Score
4673
Single Precision Score
37078
Half Precision Score
52819
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 12 2025 02:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
17797
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
26938
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20960
339.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29321
475.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9871
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123688
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231661
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
18930
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26771
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
43057
511.6 IPS |
|
|
Face Detection (Q)
|
100% |
63494
754.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99422
766.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171039
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25224
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234415
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299391
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5819
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51416
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87860
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6544
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16878
290.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18457
319.0 IPS |
