MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
734
Single Precision Score
555
Half Precision Score
399
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | urix |
| Upload Date | February 21 2025 09:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.20 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% |
404
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
96% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
250
4.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
602
0.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
92% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
1074
8.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
946
7.29 IPS |
|
|
Depth Estimation (Q)
|
85% |
624
4.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2800
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2271
2.92 IPS |
|
|
Style Transfer (Q)
|
96% |
1814
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
338
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
412
550.2 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.3 IPS |
|
|
Text Classification (Q)
|
93% |
406
544.5 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
98% |
504
8.70 IPS |
