MacBook Pro (14-inch, 2021)
Geekbench AI Score
10538
Single Precision Score
11734
Half Precision Score
10933
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | April 12 2025 12:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 2.95 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4486
834.3 IPS |
|
|
Image Classification (HP)
|
100% |
4591
853.7 IPS |
|
|
Image Classification (Q)
|
96% |
4127
770.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9844
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9722
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9242
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
47529
55.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51331
59.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
49192
57.6 IPS |
|
|
Object Detection (SP)
|
100% |
4628
367.1 IPS |
|
|
Object Detection (HP)
|
100% |
4983
395.2 IPS |
|
|
Object Detection (Q)
|
92% |
4562
364.1 IPS |
|
|
Face Detection (SP)
|
100% |
17885
212.5 IPS |
|
|
Face Detection (HP)
|
100% |
18506
219.9 IPS |
|
|
Face Detection (Q)
|
100% |
16148
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24081
185.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25398
195.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
23192
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79942
102.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96778
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
94448
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15617
576.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16321
602.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14452
533.6 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1578
27.3 IPS |
