Apple Inc. MacBookPro16,1
Geekbench AI Score
16662
Single Precision Score
17289
Half Precision Score
13893
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | January 02 2026 09:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5942
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
5822
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
5271
983.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6881
111.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6967
113.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
167635
195.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
234861
274.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
141824
166.2 IPS |
|
|
Object Detection (SP)
|
100% |
7013
556.3 IPS |
|
|
Object Detection (HP)
|
100% |
7051
559.3 IPS |
|
|
Object Detection (Q)
|
87% |
6282
504.5 IPS |
|
|
Face Detection (SP)
|
100% |
18254
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
18796
223.3 IPS |
|
|
Face Detection (Q)
|
97% |
16223
193.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53848
414.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57576
443.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
42468
341.0 IPS |
|
|
Style Transfer (SP)
|
100% |
265430
341.2 IPS |
|
|
Style Transfer (HP)
|
100% |
324683
417.4 IPS |
|
|
Style Transfer (Q)
|
98% |
220628
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28801
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27647
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22375
828.5 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1652
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1458
27.3 IPS |
