Mac16,12
Geekbench AI Score
1385
Single Precision Score
18606
Half Precision Score
27189
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 10:02 AM |
| Views | 8 |
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 | 2.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
9737
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12399
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
11519
186.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16880
273.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2669
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
56711
66.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
110554
129.6 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
11247
892.1 IPS |
|
|
Object Detection (Q)
|
91% |
14200
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
36345
431.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2901
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56938
438.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
90358
706.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7285
9.37 IPS |
|
|
Style Transfer (HP)
|
100% |
131738
169.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187722
242.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26387
974.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
46016
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
1530
2.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9927
171.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10895
188.3 IPS |
