MacBook Pro (14-inch, 2021)
Geekbench AI Score
3587
Single Precision Score
14550
Half Precision Score
14370
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nhurst |
| Upload Date | December 05 2025 01:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1283
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
6011
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5817
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8767
142.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9176
148.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69863
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65924
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.9 IPS |
|
|
Object Detection (HP)
|
99% |
6897
548.6 IPS |
|
|
Object Detection (Q)
|
91% |
6435
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
3242
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
12878
153.0 IPS |
|
|
Face Detection (Q)
|
100% |
12285
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5633
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46017
354.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47195
368.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22271
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117415
150.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111161
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24433
902.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25659
947.5 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2417
41.8 IPS |
