Mac14,2
Geekbench AI Score
745
Single Precision Score
777
Half Precision Score
593
Quantized Score
Geekbench AI 1.5.0 for macOS x86 (64-bit)
Result Information
| Upload Date | September 13 2025 01:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | VirtualApple @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| Model | Mac14,2 |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | VirtualApple @ 2.50GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 0 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
94% |
250
46.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
99% |
373
6.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
90% |
281
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
100% |
542
6.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1153
8.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.96 IPS |
|
|
Depth Estimation (Q)
|
86% |
859
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3293
4.23 IPS |
|
|
Style Transfer (Q)
|
96% |
2821
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
640
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.9 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.7 IPS |
|
|
Text Classification (Q)
|
93% |
235
315.7 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
98% |
541
9.35 IPS |
