Apple Inc. MacBookPro16,2
Geekbench AI Score
11018
Single Precision Score
12693
Half Precision Score
9149
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 04:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3961
736.6 IPS |
|
|
Image Classification (HP)
|
100% |
4303
800.2 IPS |
|
|
Image Classification (Q)
|
100% |
3776
702.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6087
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5290
85.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5397
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
77382
90.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118566
138.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65852
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
4378
347.2 IPS |
|
|
Object Detection (HP)
|
100% |
5103
404.8 IPS |
|
|
Object Detection (Q)
|
87% |
3938
316.3 IPS |
|
|
Face Detection (SP)
|
100% |
13133
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
15096
179.4 IPS |
|
|
Face Detection (Q)
|
97% |
11347
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33150
255.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40228
309.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
26527
213.0 IPS |
|
|
Style Transfer (SP)
|
100% |
142494
183.2 IPS |
|
|
Style Transfer (HP)
|
100% |
178994
230.1 IPS |
|
|
Style Transfer (Q)
|
98% |
119785
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20525
757.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23260
858.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14375
532.3 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1246
23.4 IPS |
