MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
788
Single Precision Score
101
Half Precision Score
83
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | kianajeffe |
| Upload Date | July 01 2025 08:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (15-inch Mid 2018) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-8950HK |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 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% |
409
76.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2507
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
578
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.70 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
85% |
625
4.88 IPS |
|
|
Style Transfer (SP)
|
100% |
3202
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2372
3.05 IPS |
|
|
Style Transfer (Q)
|
96% |
1907
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
313
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.6 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.8 IPS |
|
|
Text Classification (Q)
|
93% |
431
577.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
98% |
539
9.32 IPS |
