MacBook Pro (15-inch Retina Mid 2015)
Geekbench AI Score
585
Single Precision Score
559
Half Precision Score
292
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | RAMFlux |
| Upload Date | April 03 2025 03:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel Iris Pro Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (15-inch Retina Mid 2015) |
| Model ID | MacBookPro11,4 |
| Motherboard | Apple Inc. Mac-06F11FD93F0323C5 MacBookPro11,4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 70 Stepping 1 |
| Base Frequency | 2.20 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% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
96% |
90
16.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
114
1.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1386
1.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
805
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (Q)
|
93% |
101
8.05 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (Q)
|
100% |
146
1.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
785
6.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
750
5.78 IPS |
|
|
Depth Estimation (Q)
|
85% |
722
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
1358
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1355
1.74 IPS |
|
|
Style Transfer (Q)
|
96% |
1323
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
341
12.6 IPS |
|
|
Text Classification (SP)
|
71% |
416
602.1 IPS |
|
|
Text Classification (HP)
|
71% |
403
582.9 IPS |
|
|
Text Classification (Q)
|
71% |
332
479.8 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
98% |
354
6.11 IPS |
