MacBook Pro (16-inch, 2021)
Geekbench AI Score
3707
Single Precision Score
16236
Half Precision Score
16269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vincentlee |
| Upload Date | March 12 2025 01:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
6705
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6646
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9423
152.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10104
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10877
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71322
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67434
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
7880
626.8 IPS |
|
|
Object Detection (Q)
|
91% |
7383
589.9 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15049
178.8 IPS |
|
|
Face Detection (Q)
|
100% |
14893
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52017
400.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53056
414.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22382
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121086
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116700
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26202
967.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28466
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3668
63.4 IPS |
