MacBook Pro (14-inch, 2021)
Geekbench AI Score
7424
Single Precision Score
8238
Half Precision Score
7189
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | QuanTrieuPCYT |
| Upload Date | October 19 2024 03:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.3 IPS |
|
|
Image Classification (Q)
|
97% |
3093
577.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5800
94.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5880
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5814
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29711
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31240
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29061
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3613
286.6 IPS |
|
|
Object Detection (HP)
|
100% |
3849
305.3 IPS |
|
|
Object Detection (Q)
|
91% |
3177
253.9 IPS |
|
|
Face Detection (SP)
|
100% |
13104
155.7 IPS |
|
|
Face Detection (HP)
|
100% |
13574
161.3 IPS |
|
|
Face Detection (Q)
|
100% |
9750
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17129
132.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17527
135.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14842
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49808
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58617
75.4 IPS |
|
|
Style Transfer (Q)
|
96% |
54792
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10257
378.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10579
390.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8286
305.9 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
906
15.7 IPS |
