MacBook Pro (14-inch, 2021)
Geekbench AI Score
3681
Single Precision Score
16049
Half Precision Score
15969
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
6254
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
6087
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9698
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10106
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
72178
84.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68121
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
7968
633.8 IPS |
|
|
Object Detection (Q)
|
91% |
7318
584.7 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
15051
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
14622
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5700
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51593
397.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52953
413.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21976
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120108
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116224
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4489
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25093
926.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27859
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3570
61.7 IPS |
