MacBook Pro (15-inch Mid 2017)
Geekbench AI Score
716
Single Precision Score
703
Half Precision Score
284
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | ks5z |
| Upload Date | March 20 2026 03:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) HD Graphics 630 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | MacBook Pro (15-inch Mid 2017) |
| Model ID | MacBookPro14,3 |
| Motherboard | Apple Inc. Mac-551B86E5744E2388 MacBookPro14,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7920HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.10 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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
96% |
114
21.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
119
1.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
6657
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
5784
6.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1274
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
1164
92.4 IPS |
|
|
Object Detection (HP)
|
100% |
857
67.9 IPS |
|
|
Object Detection (Q)
|
92% |
119
9.50 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
161
1.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
85% |
640
5.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1309
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1271
1.63 IPS |
|
|
Style Transfer (Q)
|
96% |
1229
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
307
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.4 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.1 IPS |
|
|
Text Classification (Q)
|
93% |
197
264.4 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
224
3.87 IPS |
