MacBook Pro (14-inch, 2021)
Geekbench AI Score
3617
Single Precision Score
15970
Half Precision Score
15718
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Skyforger |
| Upload Date | March 07 2026 08:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
5982
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5845
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9236
149.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9759
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
70053
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
63100
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7001
556.9 IPS |
|
|
Object Detection (Q)
|
91% |
6650
531.3 IPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
13125
156.0 IPS |
|
|
Face Detection (Q)
|
100% |
12367
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45319
349.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46324
362.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22179
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
114876
147.7 IPS |
|
|
Style Transfer (Q)
|
96% |
109134
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24737
913.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25460
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5682
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5871
101.5 IPS |
