Mac16,13
Geekbench AI Score
4715
Single Precision Score
36285
Half Precision Score
51694
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:49 PM |
| Views | 6 |
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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17153
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
25821
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21955
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28671
464.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123086
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232327
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
18405
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25790
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
39181
465.6 IPS |
|
|
Face Detection (Q)
|
100% |
63737
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99333
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169616
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25218
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233465
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297831
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48869
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82849
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3961
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17308
298.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18179
314.2 IPS |
