MacBook Pro (14-inch, 2021)
Geekbench AI Score
3772
Single Precision Score
16622
Half Precision Score
16344
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mcx |
| Upload Date | March 18 2025 04:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| 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% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
7046
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6756
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9807
159.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
71213
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67362
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
8039
639.5 IPS |
|
|
Object Detection (Q)
|
91% |
7448
595.1 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
16257
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
13664
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52160
401.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53651
419.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22402
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121224
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116567
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26256
969.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28256
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3856
66.6 IPS |
