MacBook Pro (14-inch, 2021)
Geekbench AI Score
11688
Single Precision Score
13223
Half Precision Score
12334
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | July 02 2025 06:33 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.12 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5009
931.5 IPS |
|
|
Image Classification (HP)
|
100% |
4978
925.8 IPS |
|
|
Image Classification (Q)
|
96% |
4708
879.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11901
192.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12242
198.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11613
188.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56934
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62319
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59702
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
4491
356.2 IPS |
|
|
Object Detection (HP)
|
100% |
5154
408.8 IPS |
|
|
Object Detection (Q)
|
92% |
4917
392.5 IPS |
|
|
Face Detection (SP)
|
100% |
21457
255.0 IPS |
|
|
Face Detection (HP)
|
100% |
22327
265.3 IPS |
|
|
Face Detection (Q)
|
100% |
19099
226.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26504
204.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28293
218.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
26097
203.8 IPS |
|
|
Style Transfer (SP)
|
100% |
95601
122.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121949
156.8 IPS |
|
|
Style Transfer (Q)
|
96% |
118021
152.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16928
625.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17689
653.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15500
572.4 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1611
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1472
25.4 IPS |
