MacBook Pro (16-inch Late 2019)
Geekbench AI Score
662
Single Precision Score
477
Half Precision Score
314
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | nithinmohantk |
| Upload Date | September 22 2024 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
96% |
124
23.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
583
0.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
511
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.1 IPS |
|
|
Object Detection (Q)
|
92% |
146
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
85% |
487
3.81 IPS |
|
|
Style Transfer (SP)
|
100% |
2498
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2227
2.86 IPS |
|
|
Style Transfer (Q)
|
96% |
1646
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
270
9.95 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.6 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.4 IPS |
|
|
Text Classification (Q)
|
93% |
274
367.5 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
390
6.74 IPS |
