MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
810
Single Precision Score
645
Half Precision Score
441
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Bench_Geek |
| Upload Date | November 05 2024 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (15-inch Mid 2019) |
| Model ID | MacBookPro15,3 |
| Motherboard | Apple Inc. Mac-1E7E29AD0135F9BC MacBookPro15,3 |
| 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 | 32.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.3 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
282
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
92% |
205
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
827
9.82 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1253
9.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
85% |
651
5.09 IPS |
|
|
Style Transfer (SP)
|
100% |
2440
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2717
3.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2279
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
435
581.3 IPS |
|
|
Text Classification (HP)
|
100% |
445
593.3 IPS |
|
|
Text Classification (Q)
|
93% |
455
610.6 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.81 IPS |
