Apple Inc. MacBookPro16,2
Geekbench AI Score
11202
Single Precision Score
12965
Half Precision Score
9030
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | MST36-JP |
| Upload Date | January 23 2026 10:42 AM |
| 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% |
4069
756.7 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.9 IPS |
|
|
Image Classification (Q)
|
100% |
3889
723.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5956
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5335
86.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5244
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
75922
88.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
119765
139.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66982
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
4312
342.0 IPS |
|
|
Object Detection (HP)
|
100% |
5280
418.8 IPS |
|
|
Object Detection (Q)
|
87% |
3516
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
13065
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
15008
178.3 IPS |
|
|
Face Detection (Q)
|
97% |
11044
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32678
251.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40018
308.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
26510
212.9 IPS |
|
|
Style Transfer (SP)
|
100% |
142650
183.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178310
229.2 IPS |
|
|
Style Transfer (Q)
|
98% |
118282
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21186
782.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24434
902.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14929
552.8 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1206
22.6 IPS |
