MacBook Pro (15-inch Late 2016)
Geekbench AI Score
626
Single Precision Score
444
Half Precision Score
327
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AVX2
Result Information
| User | coorelle |
| Upload Date | March 15 2025 05:11 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-6920HQ |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (15-inch Late 2016) |
| Model ID | MacBookPro13,3 |
| Motherboard | Apple Inc. Mac-A5C67F76ED83108C MacBookPro13,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6920HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
96% |
135
25.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
455
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
722
5.56 IPS |
|
|
Depth Estimation (Q)
|
85% |
494
3.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2652
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1753
2.25 IPS |
|
|
Style Transfer (Q)
|
96% |
1474
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
262
9.66 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.9 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.0 IPS |
|
|
Text Classification (Q)
|
93% |
368
493.4 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (Q)
|
98% |
411
7.10 IPS |
