MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
720
Single Precision Score
606
Half Precision Score
431
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | vincent_zh |
| Upload Date | February 11 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8850H |
| System Information | |
|---|---|
| Operating System | macOS 14.7.3 (Build 23H417) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
96% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
1377
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
92% |
193
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
700
8.31 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
100% |
274
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.30 IPS |
|
|
Depth Estimation (Q)
|
86% |
556
4.34 IPS |
|
|
Style Transfer (SP)
|
100% |
3069
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3085
3.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2291
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.0 IPS |
|
|
Text Classification (HP)
|
100% |
441
588.6 IPS |
|
|
Text Classification (Q)
|
93% |
445
596.7 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.53 IPS |
