Mac16,12
Geekbench AI Score
1167
Single Precision Score
17840
Half Precision Score
21368
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 1.97 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
9895
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11663
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
12595
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18001
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2379
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
48971
57.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
91421
107.2 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
9385
744.5 IPS |
|
|
Object Detection (Q)
|
91% |
12967
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
21296
253.0 IPS |
|
|
Face Detection (Q)
|
100% |
29686
352.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2047
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50386
388.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
80558
629.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
111887
143.8 IPS |
|
|
Style Transfer (Q)
|
96% |
165867
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28742
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44990
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
93% |
448
601.0 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9432
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9975
172.4 IPS |
