MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
758
Single Precision Score
522
Half Precision Score
361
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 15 2025 08:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9880H |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
169
2.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
2354
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
563
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
92% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1451
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.65 IPS |
|
|
Depth Estimation (Q)
|
85% |
625
4.89 IPS |
|
|
Style Transfer (SP)
|
100% |
3940
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
2349
3.02 IPS |
|
|
Style Transfer (Q)
|
96% |
1881
2.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
323
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.9 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.7 IPS |
|
|
Text Classification (Q)
|
93% |
438
587.8 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
98% |
405
6.99 IPS |
