MacBook Pro (13-inch Mid 2018)
Geekbench AI Score
774
Single Precision Score
509
Half Precision Score
381
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | sw0000 |
| Upload Date | January 27 2025 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-8559U |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (13-inch Mid 2018) |
| Model ID | MacBookPro15,2 |
| Motherboard | Apple Inc. Mac-827FB448E656EC26 MacBookPro15,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8559U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.70 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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
246
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
2658
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
508
0.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
479
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (Q)
|
100% |
321
3.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1113
8.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
579
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
3172
4.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1556
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
307
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.5 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
93% |
446
599.0 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
98% |
488
8.43 IPS |
