MacBook Pro (15-inch Mid 2019)
Geekbench AI Score
880
Single Precision Score
114
Half Precision Score
89
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | September 25 2025 12:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2530
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
860
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
823
9.77 IPS |
|
|
Face Detection (Q)
|
100% |
334
3.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
1390
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1193
9.19 IPS |
|
|
Depth Estimation (Q)
|
85% |
728
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3598
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2903
3.73 IPS |
|
|
Style Transfer (Q)
|
96% |
2130
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.3 IPS |
|
|
Text Classification (HP)
|
100% |
454
605.4 IPS |
|
|
Text Classification (Q)
|
93% |
464
622.2 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (Q)
|
98% |
567
9.80 IPS |
