Apple Inc. MacBookPro16,1
Geekbench AI Score
16882
Single Precision Score
18065
Half Precision Score
14183
Quantized Score
Geekbench AI 1.6.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | January 02 2026 10:57 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% |
6372
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
5936
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
5782
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7689
124.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7145
115.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7141
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167921
195.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
233761
272.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
138566
162.4 IPS |
|
|
Object Detection (SP)
|
100% |
7221
572.8 IPS |
|
|
Object Detection (HP)
|
100% |
7276
577.1 IPS |
|
|
Object Detection (Q)
|
87% |
6460
518.9 IPS |
|
|
Face Detection (SP)
|
100% |
19048
226.3 IPS |
|
|
Face Detection (HP)
|
100% |
19785
235.1 IPS |
|
|
Face Detection (Q)
|
97% |
16794
200.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
53795
414.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57606
443.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
42240
339.2 IPS |
|
|
Style Transfer (SP)
|
100% |
264827
340.4 IPS |
|
|
Style Transfer (HP)
|
100% |
327547
421.1 IPS |
|
|
Style Transfer (Q)
|
98% |
219670
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27742
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29255
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22488
832.7 IPS |
|
|
Text Classification (SP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1674
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1520
28.5 IPS |
