Mac16,13
Geekbench AI Score
4847
Single Precision Score
36710
Half Precision Score
51908
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | OXO |
| Upload Date | August 24 2025 09:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2088
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
17273
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25304
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21970
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30094
487.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122762
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232812
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
18607
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26353
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
43966
522.4 IPS |
|
|
Face Detection (Q)
|
100% |
63642
756.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8705
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99486
766.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168663
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21821
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231724
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296930
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49857
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84731
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6160
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16474
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18383
317.7 IPS |
