MacBook Pro (14-inch, 2021)
Geekbench AI Score
12229
Single Precision Score
14085
Half Precision Score
12933
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | June 08 2025 09:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
5278
981.6 IPS |
|
|
Image Classification (HP)
|
100% |
5300
985.6 IPS |
|
|
Image Classification (Q)
|
96% |
4933
921.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11921
193.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12271
198.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11653
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57157
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
62553
73.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
59542
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
5206
413.0 IPS |
|
|
Object Detection (HP)
|
100% |
5514
437.4 IPS |
|
|
Object Detection (Q)
|
92% |
5066
404.4 IPS |
|
|
Face Detection (SP)
|
100% |
21458
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
22534
267.8 IPS |
|
|
Face Detection (Q)
|
100% |
19368
230.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26775
206.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28096
216.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
25998
203.1 IPS |
|
|
Style Transfer (SP)
|
100% |
97077
124.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122583
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119701
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17165
633.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18251
673.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15919
587.8 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1974
34.1 IPS |
