MacBook Pro (16-inch Late 2019)
Geekbench AI Score
918
Single Precision Score
646
Half Precision Score
439
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | slavatsarev |
| Upload Date | January 03 2025 05:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
96% |
186
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
617
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
92% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1178
9.07 IPS |
|
|
Depth Estimation (Q)
|
85% |
702
5.49 IPS |
|
|
Style Transfer (SP)
|
100% |
4472
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
2744
3.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2087
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
595
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.6 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
93% |
398
534.3 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
98% |
533
9.21 IPS |
