MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
495
Single Precision Score
416
Half Precision Score
335
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | arobasefr |
| Upload Date | August 16 2024 11:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.3 IPS |
|
|
Image Classification (Q)
|
99% |
189
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
100% |
181
2.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1393
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
808
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
92% |
121
9.63 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.35 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
100% |
204
2.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
507
3.91 IPS |
|
|
Depth Estimation (Q)
|
97% |
472
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1720
2.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2061
2.65 IPS |
|
|
Style Transfer (Q)
|
100% |
2146
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
268
9.92 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.6 IPS |
|
|
Text Classification (HP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (Q)
|
93% |
258
346.8 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.46 IPS |
