MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
587
Single Precision Score
85
Half Precision Score
66
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | December 22 2025 10:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1686
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
470
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (HP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (Q)
|
100% |
207
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
865
6.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
732
5.64 IPS |
|
|
Depth Estimation (Q)
|
85% |
444
3.47 IPS |
|
|
Style Transfer (SP)
|
100% |
2187
2.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2088
2.68 IPS |
|
|
Style Transfer (Q)
|
96% |
1563
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
251
9.27 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.3 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.0 IPS |
|
|
Text Classification (Q)
|
93% |
266
357.5 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
98% |
392
6.77 IPS |
