MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
774
Single Precision Score
582
Half Precision Score
404
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | sardor0525 |
| Upload Date | January 18 2025 07:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| 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 | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
218
3.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2429
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
625
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
819
9.73 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (Q)
|
100% |
280
3.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1240
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
85% |
649
5.07 IPS |
|
|
Style Transfer (SP)
|
100% |
3710
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2687
3.45 IPS |
|
|
Style Transfer (Q)
|
96% |
2087
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
416
554.8 IPS |
|
|
Text Classification (HP)
|
100% |
415
553.5 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.7 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
98% |
461
7.97 IPS |
