MacBook Pro (14-inch, 2021)
Geekbench AI Score
12182
Single Precision Score
13331
Half Precision Score
12055
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wyncdavies |
| Upload Date | January 21 2025 09:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5445
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4684
874.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10373
168.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10635
172.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10796
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
57584
67.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
61322
71.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
56412
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
5381
426.8 IPS |
|
|
Object Detection (HP)
|
100% |
5569
441.7 IPS |
|
|
Object Detection (Q)
|
91% |
4848
387.4 IPS |
|
|
Face Detection (SP)
|
100% |
21749
258.4 IPS |
|
|
Face Detection (HP)
|
100% |
23354
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
16891
200.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27121
209.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28689
221.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
24216
189.3 IPS |
|
|
Style Transfer (SP)
|
100% |
97404
125.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122147
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115161
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17259
637.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17870
659.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14719
543.5 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1720
29.7 IPS |
