MacBook Pro (14-inch, 2021)
Geekbench AI Score
3751
Single Precision Score
15689
Half Precision Score
15663
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kapusmd |
| Upload Date | January 05 2025 09:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
6342
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6199
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9415
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10057
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11187
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69284
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66230
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7451
592.7 IPS |
|
|
Object Detection (Q)
|
91% |
7054
563.7 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
14808
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
13874
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49806
383.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
52071
406.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22559
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118545
152.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115189
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25757
951.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27674
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3369
58.2 IPS |
