Apple Inc. MacBookPro16,1
Geekbench AI Score
17108
Single Precision Score
23240
Half Precision Score
14464
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | November 21 2025 02:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
6307
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
7589
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
5927
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7885
127.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8685
140.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7579
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
147938
172.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
391782
457.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
133996
157.0 IPS |
|
|
Object Detection (SP)
|
100% |
7801
618.8 IPS |
|
|
Object Detection (HP)
|
100% |
9533
756.1 IPS |
|
|
Object Detection (Q)
|
86% |
7155
574.8 IPS |
|
|
Face Detection (SP)
|
100% |
19494
231.6 IPS |
|
|
Face Detection (HP)
|
100% |
22224
264.1 IPS |
|
|
Face Detection (Q)
|
97% |
17985
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
62153
478.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
91785
707.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
49914
398.6 IPS |
|
|
Style Transfer (SP)
|
100% |
243278
312.7 IPS |
|
|
Style Transfer (HP)
|
100% |
500472
643.4 IPS |
|
|
Style Transfer (Q)
|
98% |
208998
269.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30490
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39242
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25602
948.0 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2040
35.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1398
26.2 IPS |
