Apple Inc. MacBookPro15,2
Geekbench AI Score
1543
Single Precision Score
700
Half Precision Score
1826
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 09:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.8 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
950
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
3173
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
58% |
1040
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
96% |
3155
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2519
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
936
7.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
4118
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5030
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3520
4.53 IPS |
|
|
Style Transfer (Q)
|
87% |
8454
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1073
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.2 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1422
27.5 IPS |
