MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
890
Single Precision Score
109
Half Precision Score
88
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Pijiuhua |
| Upload Date | March 26 2026 01:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,1 |
| Motherboard | Apple Inc. Mac-937A206F2EE63C01 MacBookPro15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9880H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
637
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (Q)
|
100% |
323
3.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1480
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1144
8.81 IPS |
|
|
Depth Estimation (Q)
|
85% |
704
5.51 IPS |
|
|
Style Transfer (SP)
|
100% |
4438
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3003
3.86 IPS |
|
|
Style Transfer (Q)
|
96% |
2339
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
383
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.0 IPS |
|
|
Text Classification (HP)
|
100% |
445
594.0 IPS |
|
|
Text Classification (Q)
|
93% |
447
599.8 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
98% |
514
8.89 IPS |
