MacBook Pro (16-inch Late 2019)
Geekbench AI Score
666
Single Precision Score
479
Half Precision Score
315
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | nordicpioneer |
| Upload Date | February 12 2025 04:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
96% |
124
23.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
493
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
92% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
799
9.50 IPS |
|
|
Face Detection (HP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.31 IPS |
|
|
Depth Estimation (Q)
|
85% |
490
3.83 IPS |
|
|
Style Transfer (SP)
|
100% |
2691
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2270
2.92 IPS |
|
|
Style Transfer (Q)
|
96% |
1661
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
274
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.7 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (Q)
|
93% |
275
369.3 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
98% |
405
7.00 IPS |
