MacBookPro16,4
Geekbench AI Score
248
Single Precision Score
235
Half Precision Score
160
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | WTT |
| Upload Date | August 20 2024 04:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel Iris Pro Graphics |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBookPro16,4 |
| Model ID | MacBookPro16,4 |
| Motherboard | Acidanthera Mac-A61BADE1FDAD7B05 MacBookPro16,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4712MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
100% |
96
1.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
463
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
93% |
69
5.47 IPS |
|
|
Face Detection (SP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
95
1.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
388
2.99 IPS |
|
|
Depth Estimation (Q)
|
97% |
386
2.98 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
100% |
688
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.70 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
173
6.40 IPS |
|
|
Text Classification (SP)
|
29% |
14
236.7 IPS |
|
|
Text Classification (HP)
|
29% |
12
213.9 IPS |
|
|
Text Classification (Q)
|
29% |
11
186.0 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
292
5.04 IPS |
