MacBook Pro (15-inch Mid 2018)
Geekbench AI Score
597
Single Precision Score
89
Half Precision Score
71
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 23 2026 06:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-8950HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1552
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
338
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
100% |
167
1.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
85% |
336
2.62 IPS |
|
|
Style Transfer (SP)
|
100% |
3202
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2759
3.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2031
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
358
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.7 IPS |
|
|
Text Classification (HP)
|
100% |
483
645.3 IPS |
|
|
Text Classification (Q)
|
93% |
485
650.7 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
98% |
512
8.85 IPS |
