iMacPro1,1
Geekbench AI Score
1963
Single Precision Score
204
Half Precision Score
154
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | opetit |
| Upload Date | February 16 2026 05:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 8 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
180.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
6245
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2812
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
2271
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (Q)
|
100% |
611
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
3221
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2724
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1491
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9064
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9204
11.8 IPS |
|
|
Style Transfer (Q)
|
96% |
6017
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
799
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.8 IPS |
|
|
Text Classification (HP)
|
100% |
702
936.4 IPS |
|
|
Text Classification (Q)
|
93% |
699
938.8 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1097
19.0 IPS |
