MacBookPro16,4
Geekbench AI Score
3525
Single Precision Score
3605
Half Precision Score
942
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | nautics |
| Upload Date | March 31 2025 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5600M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Apple Inc. Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3079
572.5 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.3 IPS |
|
|
Image Classification (Q)
|
96% |
111
20.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
25109
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23748
27.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
1988
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (Q)
|
92% |
92
7.32 IPS |
|
|
Face Detection (SP)
|
100% |
8228
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
9525
113.2 IPS |
|
|
Face Detection (Q)
|
100% |
190
2.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
12985
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13032
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12003
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
47763
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48180
61.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62458
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6857
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.3 IPS |
|
|
Text Classification (HP)
|
100% |
402
537.2 IPS |
|
|
Text Classification (Q)
|
93% |
344
461.4 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.50 IPS |
|
|
Machine Translation (Q)
|
98% |
420
7.26 IPS |
