MacBook Pro (16-inch Late 2019)
Geekbench AI Score
852
Single Precision Score
679
Half Precision Score
470
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | gundar |
| Upload Date | January 26 2025 05:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| 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 i9-9980HK |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.7 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.9 IPS |
|
|
Image Classification (Q)
|
96% |
188
35.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
836
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
719
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
92% |
209
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (Q)
|
100% |
342
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1270
9.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1205
9.28 IPS |
|
|
Depth Estimation (Q)
|
85% |
756
5.91 IPS |
|
|
Style Transfer (SP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3247
4.17 IPS |
|
|
Style Transfer (Q)
|
96% |
2496
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
662
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.9 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.3 IPS |
|
|
Text Classification (Q)
|
93% |
462
619.6 IPS |
|
|
Machine Translation (SP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.86 IPS |
