MacBookPro16,4
Geekbench AI Score
849
Single Precision Score
111
Half Precision Score
86
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | November 30 2025 10:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Apple Inc. Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
633
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
795
9.44 IPS |
|
|
Face Detection (Q)
|
100% |
317
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1297
10.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
85% |
699
5.46 IPS |
|
|
Style Transfer (SP)
|
100% |
3607
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2801
3.60 IPS |
|
|
Style Transfer (Q)
|
96% |
2104
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
356
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.4 IPS |
|
|
Text Classification (HP)
|
100% |
402
536.2 IPS |
|
|
Text Classification (Q)
|
93% |
406
545.3 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (Q)
|
98% |
547
9.45 IPS |
