Mac16,12
Geekbench AI Score
1305
Single Precision Score
17960
Half Precision Score
25160
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 10:00 AM |
| Views | 5 |
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 | 1.99 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
9748
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12596
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
11506
186.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16639
269.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
49373
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
97377
114.1 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
10411
825.8 IPS |
|
|
Object Detection (Q)
|
91% |
12756
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
21255
252.6 IPS |
|
|
Face Detection (Q)
|
100% |
31301
371.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2393
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50539
389.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90237
705.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6306
8.11 IPS |
|
|
Style Transfer (HP)
|
100% |
123403
158.6 IPS |
|
|
Style Transfer (Q)
|
96% |
185585
239.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30213
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48370
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
1608
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1577
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9407
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9766
168.8 IPS |
