MacBook Pro (Retina)
Geekbench AI Score
367
Single Precision Score
88
Half Precision Score
46
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | December 15 2024 09:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-3615QM |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (Retina) |
| Model ID | MacBookPro10,1 |
| Motherboard | Apple Inc. Mac-C3EC7CD22292981F MacBookPro10,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3615QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
96% |
38
7.11 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
55
0.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
960
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
180
0.21 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.5 IPS |
|
|
Object Detection (Q)
|
92% |
47
3.77 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
315
3.74 IPS |
|
|
Face Detection (Q)
|
100% |
68
0.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
85% |
133
1.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1353
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
666
0.86 IPS |
|
|
Style Transfer (Q)
|
96% |
464
0.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.62 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
73
2.69 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
131.6 IPS |
|
|
Text Classification (Q)
|
29% |
8
133.0 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.39 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.40 IPS |
