MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
905
Single Precision Score
680
Half Precision Score
472
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Bench_Geek |
| Upload Date | November 05 2024 02:27 PM |
| Views | 4 |
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% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
344
64.0 IPS |
|
|
Image Classification (Q)
|
96% |
191
35.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
446
7.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
670
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
92% |
226
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
836
9.93 IPS |
|
|
Face Detection (Q)
|
100% |
348
4.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
1391
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
85% |
774
6.06 IPS |
|
|
Style Transfer (SP)
|
100% |
3587
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3083
3.96 IPS |
|
|
Style Transfer (Q)
|
96% |
2379
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.7 IPS |
|
|
Text Classification (HP)
|
100% |
439
585.5 IPS |
|
|
Text Classification (Q)
|
93% |
441
591.9 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.33 IPS |
