MacBook Pro (14-inch, 2021)
Geekbench AI Score
11603
Single Precision Score
13002
Half Precision Score
12052
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4937
918.1 IPS |
|
|
Image Classification (HP)
|
100% |
5019
933.3 IPS |
|
|
Image Classification (Q)
|
96% |
4699
877.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11662
189.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11975
194.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11381
184.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56830
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62142
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59021
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5176
410.5 IPS |
|
|
Object Detection (HP)
|
100% |
5148
408.4 IPS |
|
|
Object Detection (Q)
|
92% |
4902
391.3 IPS |
|
|
Face Detection (SP)
|
100% |
20877
248.1 IPS |
|
|
Face Detection (HP)
|
100% |
21855
259.7 IPS |
|
|
Face Detection (Q)
|
100% |
19004
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26107
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27750
213.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
25284
197.5 IPS |
|
|
Style Transfer (SP)
|
100% |
96577
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120974
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118359
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16778
619.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17145
633.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15376
567.8 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
